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Posted on January 4, 2019June 29, 2023

AI is coming — and HR is not prepared

AI in HR, artificial intelligence

The future of work will be driven by artificial intelligence, and HR is woefully ill equipped to make it happen — at least according to many reports about AI and HR.

IBM, PWC and Deloitte (among others) have all done surveys on AI’s impact on HR in the last 18 months, and the message is clear: companies want AI, but they don’t have the talent, leadership or confidence in their human resources team to make it happen.

IBM predicts that 120 million workers in the world’s 10 largest economies will need to be reskilled in the next few years to adapt to an AI-driven marketplace — and that if companies don’t get started soon they will quickly risk losing their competitive edge. Yet its “Unplug from the past” report found that just 28 percent of CHROs expect their enterprise to address changing workforce demographics with new strategies.

Even if companies are gearing up for an AI reskilling evolution, roughly half of their employees don’t think they can pull it off. A global study by Harris Insights in collaboration with IBM found that while more than 80 percent of employees in the U.S. and UK believe having AI skills will be a competitive advantage for their companies, 42 percent said they don’t believe their HR departments can execute it.

Deloitte’s “2018 Global Human Capital Trends” report showed a similar lack of confidence. It found that while 72 percent of respondents think adopting AI is important for their business, only 31 percent feel ready to address it. And research from PWC shows 63 percent of companies are rethinking the whole role of their human resources department in light of the impact AI will have on the business.

Part of the problem is HR’s historic lack of experience with data and analytics, said David Mallon, chief analyst for Bersin by Deloitte. “Every other part of the organization is accustomed to using data to support decisions, but not HR,” he said. “They lack data fluency.”

HR’s evolving role

But things need to change. If HR leaders want to stay relevant (and employed) they need to start thinking more strategically about their roles, said Chris Havrilla, VP of HR technology at Bersin by Deloitte. “They need to shift their mindset to be more data driven, and to see themselves as human teachers for the machine,” she said.

That starts with a change in culture, where data is used to make decisions about people in the same way other departments use data to track finances or manage the supply chain. “The notion that data should inform people decisions is new for a lot of companies,” she said.

HR also needs to think about how that data will help them reskill the workforce for an AI-driven future, said Amy Wright, managing partner of talent and transformation at IBM.

For example, HR leaders will have to reassess how they deliver training to employees and alert them to their own learning needs. “Employees are used to a personalized approach in their consumer lives and they want that in the workplace,” Wright said.

They don’t want to be given a list of full-length courses that may help them learn new skills. They want short, easy-to-consume learning nuggets that have been curated to teach them exactly what they need to know, when they need to know it. “AI-driven training platforms can deliver that personalization,” Wright said.

Also read: For Better or Worse, Artificial Intelligence for Talent Management Has Arrived

AI can also help HR to identify which employees might be best suited to be upskilled for new AI roles, to identify the actual skill gaps they have, and to customize a learning and development path based on others who’ve moved through the organization.

Do something

This transition won’t be easy. It will require HR leaders to upgrade their own skill sets while simultaneously upskilling their workforce and changing how the business functions.

It may sound overwhelming, but it doesn’t have to be, according to Wright. The key is to get started. “Don’t feel like you have to build an entire AI roadmap and plan everything out. Just pick a business problem in one unit and pilot a solution,” she said.

Starting small will allow HR to either fail fast or prove the benefits of AI — and their own ability to leverage it — which will help them win over stakeholders and bolster the workforce’s confidence in their ability to navigate this digital transformation.

“HR can be the growth engine of the organization,” Wright said. They just have to prove they can get it done.

Posted on December 4, 2018June 29, 2023

3 Behaviors for Leadership Skills for the Digital Age

It’s not enough for business leaders to merely be “the man (or woman) behind the curtain” anymore.

In a world that’s rapidly becoming more technology driven, managers and executives must put in extra effort to create human relationships with their people — connections that are necessary for any organization to thrive in a complex and competitive marketplace.

The more your business is centered around artificial intelligence, robotics or other digital technologies, the more effort you have to make to be human and to create human relationships, to pry people away from their smartphones, to have face-to-face conversations, to appreciate people and to be honest.

Sure, digital awareness skills and abilities are important, but the more tech-focused we get, the more human leadership there has to be. Otherwise you’re just “behind the curtain.” Plenty of executives lead that way anyway, but in this environment you have to take greater steps to be more real — and effective — than the Wizard of Oz.

These are three behaviors that will help leaders make more meaningful connections with their people.

  1. Be trustworthy and fair. Whether your people see you regularly in person or you stay “behind the curtain,” your team has to be able to trust that what you say is the truth. That doesn’t necessarily mean you always share everything you know, but everything you do say has to be true. If you can’t share an answer to a question or some other information for a legal or strategic reason, then be upfront about that. Don’t make something else up, dance around it or shade the truth. You could say something like: “Because of FCC rules, because of a board vote, because of competitive pressures, I can’t go into this right now, but rest assured we are working on it and at the appropriate time we’ll share everything you need to know and everything you want to know.” When you speak you should tell the truth, and if the truth changes you should go back to your people and explain why.
  2. Be personal and approachable. The second vital behavior for leaders is that even if you stay “behind the curtain” and all anybody sees is the smoke and the floating face of the “wizard,” you still have to figure out how to be personable and approachable. Your people still need to feel that you’re a human being — and that they’re being treated as human beings. That means if you bump into each other in the hallway, you stop, look him or her in the eye and talk directly to that person. Don’t look down at your mobile device, mumble something and keep going. Don’t be that leader who’s going to the penthouse 40 floors up but doesn’t say anything in an elevator full of employees. If you struggle to make human connections with your team, consider holding office hours in the cafeteria two times a month for a few hours and announcing it to your team by offering to chat or answer questions. Maybe just two people will show up the first time. But the next time four people will attend, then eight. Before long you will have made real strides in changing the vibe in your organization.
  3. Provide and acknowledge meaning. This can be a hard one for baby boomers, who, broadly speaking, are often happy just to have a job. But today’s reality is that there are younger generations in the workforce who, while certainly happy to have a job, care more about the values that they hold and the meaning they derive from their work than previous generations have. In this case, the CEO will rarely be the person who regularly acknowledges meaning for low-level employees, but they can still do it periodically. Managers, however, can absolutely help in this regard by building this behavior into their regular interactions with direct reports. These acknowledgments of meaning can take place in performance conversations, weekly catch-ups or conference calls. They could be as simple as saying “Here’s how the work that you’re doing ties to our mission. Here’s how the work that you are doing is enabling our customers to do X, Y and Z. Here’s how what you’re doing, Bob, is moving this project forward exponentially.” Everybody wants to know that what they’re doing is not only important and appreciated, but fits in with the values and the mission of the company.

Increasingly complex times demand dynamic leadership, which calls upon business leaders to step out from behind the curtain and connect with their people on a genuine human level.

Posted on November 9, 2018September 5, 2023

Meet Your New Colleague: Artificial Intelligence

communication with artificial intelligence

Artificial intelligence is increasingly people’s interviewer, colleague and competition. As it burrows its way further into the workplace and different job functions, it holds abilities to take over certain tasks, learn over time and even have conversations. Many of us may not even be aware that who we’re talking to isn’t even a “who” but a “what.”

In 2017, 61 percent of businesses said they implemented AI, compared to 38 percent in 2016, according to the “Outlook on Artificial Intelligence in the Enterprise 2018” report from Narrative Science, an artificial intelligence company, in collaboration with the National Business Research Institute. In the communication arena, 43 percent of these businesses said they send AI-powered communications to employees.

Many candidates don’t even realize that they’re not speaking to a human, according to Sahil Sahni, co-founder of computer software company AllyO, which uses an AI-enabled chatbot to speak to candidates and answer questions in the recruiting process.

Based off data from AllyO’s applicants, he found that less than 30 percent of candidates think that they’re speaking to something not human. The other 70 percent either did not disclose what they thought or believed there’s a person behind that chatbot.

AllyO does not disclose up front to the candidate that they are not speaking to a human. However, if they were to ask outright if they are speaking to a person or an AI-enabled chatbot, the system discloses that information. “The goal is not to goof anyone here. The goal is to have the best candidate experience. Lying about it is not the best candidate experience,” Sahni said.

communication with artificial intelligence
In 2017, 61 percent of businesses said they implemented AI, compared to 38 percent in 2016, according to the “Outlook on Artificial Intelligence in the Enterprise 2018” report from Narrative Science.

Candidates don’t behave differently when speaking to an AI as opposed to a human, Sahni added.

“When you’re a job seeker, it’s not like you’re calling customer service to complain about something. You’re at your best behavior,” he said. “You tend to be a lot more tolerant, you tend to be a lot more respectful, no matter what the process might be.”

Dennis R. Mortensen, CEO and founder of New York-based technology company X.ai, also has access to conversations between people and machine agents, and his team spent the past four years assembling a data set of more than 10 million emails on these dialogues. Their findings have similarly found that people don’t communicate differently just because they’re speaking to a robot.

Giving X.ai’s own personal assistants Amy and Andrew as an example, he said, “It would be very easy to imagine that I will treat them like machines and remove any level of emotion otherwise applied to a traditional conversation with a human, or that the system as a whole would not leave any room for empathy toward the machine. I am happy to say that it is not the case.”

This is not to say that everyone treats a machine with respect. If people tend to be more aggressive or rude with a real person, that same communication style can be seen in how they converse with a machine. The same trend goes with people who are neutral or overly friendly in how they speak to others.

communication with artificial intelligence

Also read: Artificial Intelligence, Automation and the Future of Talent Acquisition

How potential employees actually speak to AI is a different conversation than how potential employees should speak to AI, he added. That is, it’s unclear whether how a person treats a machine says anything about how that person would treat other people, and it’s unclear whether something like a person being rude to a machine agent should impact their job prospects.

“We can certainly agree that we do care if it’s a human recruiting coordinator,” Mortenson said. But machines have no feelings or emotions and cannot be offended, so it would be easy to argue why employers shouldn’t care. Ultimately, “I do think we should care even if it is a machine,” Mortenson said. “I understand why we might care a little bit less, but I don’t think we can just discard that as a signal.”

He gave the example of a report which found that this technology could have implications on how kids learn how to communicate and teach them that speaking harshly or impolitely to people has no consequences.

“In real life there’s a penalty to being an asshole,” Mortensen.

Limits and Capabilities of AI in the Hiring Process

Machine learning allows AI to gain knowledge over time and learn from its interactions, much like a person would. That being said, even though it has the ability to mature in its own way and become more humanlike over time, that still doesn’t make it human, and there are certain questions that a person might have to answer, for example, questions about company culture, according to Sahni.

AI systems are capable of taking this into account. For example, AllyO can recognize when a candidate asks a question that cannot be answered by a machine and brings in a person who can answer that question, Sahni said. This way, the candidate can have a positive experience and not feel like they’ve lost out by not speaking to a real person.

“If the process is objective, AI knocks it out of the park. If the process has any subjectivity to it, AI does really well looping in the hiring team,” he said. “A good AI system typically has human support behind it.”

Much like people themselves, AI has the potential for bias, according to Eric Shangle, director of people operations at AI platform Figure Eight, based in San Francisco. For example, Wired reported in July 2018 that Amazon’s facial recognition software system Rekognition confused many black members of Congress with publicly available mugshots and that facial recognition technology’s problem in detecting darker skin tones is a well-established problem.

One reason why a tool may be biased is training data bias, Shangle said. From the developmental side of machine learning, the creator of a tool must input a data set to train the algorithm, and if it does not use a diverse data set, then an employer using the tool may come across bias blind spots.

“What are the biases of this tool?” is a legitimate question for employers who are looking to purchase a machine learning tool such as facial recognition software, Shangle said. A recruiting tool may, for example, have a bias toward college-educated job seekers.

David Dalka, founder of Chicago-based management consulting company Fearless Revival, agrees that AI has its limits. He has a more traditional view of what recruiting should look like, arguing that companies should invest less in technology and more in human recruiters who work at the company long-term, know the company culture and know what kind of person would be a best fit for the job, rather than look for trendy keywords or job titles in résumés.

“I’m not opposed to AI tools if someone built the full data library of all the factors and stopped focusing trivially on things like job titles,” he said.

He suggested that companies should more carefully consider the attributes that matter in a candidate — Do they read any books? Are they naturally curious? What are their skills and degrees? — and consider how they would weigh these attributes in an AI system. Ultimately AI is simply a tool that analyzes content.

“This idea that some wizard will magically create this black box that will hire the right people without you thinking of these things is a fallacy,” Dalka said.

This article originally appeared in Talent Economy.

Posted on November 7, 2018June 29, 2023

Hyatt Taps Into Virtual Reality to Hire 10,000 Young Workers

virtual reality

The unemployment rate may be at a record low, but there are still vast pockets of workers in the United States struggling to find jobs.virtual reality

Global hotel chain Hyatt Corp. is tapping into one of these talent pools with RiseHY, its new community-hiring program, which uses virtual reality and gaming to introduce young people looking for career opportunities to the hospitality industry.

As part of the initiative, Hyatt hotels around the world have committed to hiring 10,000 “opportunity youth” — people ages 18 to 24 who are neither in school nor working — by 2025. According to data from Brookings Institute, 4.7 million young people fall into this category.

“This program is a labor of love,” says Jessica Schultz, Hyatt’s senior manager of community engagement. Part philanthropy and part talent development, RiseHY was designed to support the community while helping Hyatt fill its talent pipeline. “This is a pool of untapped talent who have skills and ambition,” said Audrey Williams-Lee, vice president of corporate HR and philosophy. “They could be a great fit for our organization.”

Immersive Hotel Tours

However, RiseHY is more than just a targeted recruiting effort.

virtual reality
Audrey Williams-Lee

Opportunity youth often come from disadvantaged neighborhoods and have limited work experience and education. “Hospitality jobs aren’t even on their radar,” Schultz said. When Schultz and Williams-Lee began designing the project, they knew they would need to close that gap and find a way to help young people imagine building a career in hospitality.

To give them a sense of what life would be like working in a hotel, they worked with a vendor to build a virtual reality app, called YouVisit, where candidates can take a virtual guided tour of a hotel, see what workers do and learn what’s required of different roles including room attendants, hostesses, wait staff and concierge. “The virtual reality lets them see what their career path could be, and to think about whether this is a good fit for them,” Williams-Lee said.

Gaming the System

virtual reality
Priyanka Jain

Interested candidates are also invited to complete an online assessment, built by Pymetrics, that uses artificial intelligence to assess a candidate’s skills and attitudes through a series of games and reasoning exercises. The games use neuroscience and reviews of past assessments to measure things like how well candidates multi-task, whether they can filter distractions, and their willingness to take risks, explained Priyanka Jain, head of growth and lead product manager for Pymetrics.

The system then determines where a candidate would be a good fit. “There are no good or bad responses,” Jain said. Rather, it helps the candidates and Hyatt understand where candidates are likely to thrive in the absence of a resume or past job experience.

virtual reality
Jessica Schultz

The virtual reality app and game-based assessments are meant to ease these young people through the early recruiting process, but it is also expected to help increase retention and job satisfaction by ensuring the right people are put into the right roles, said Schultz. “It will create a better flow for our talent funnel.”

Once candidates are selected, they are either hired directly and given a mentor to support them as they ease into the role, or they are placed in a three- to six-month training program developed in partnership with community groups to give them the skills they will need on the job.

Once the training is complete, they may be hired by Hyatt or referred to other hospitality employers. “We aren’t just doing this for Hyatt,” Schultz said. “It’s about helping these kids find careers in hospitality.”

Expanding the program ensures every interested youth has an opportunity to find a job and that Hyatt doesn’t have to slow the program down during low hiring seasons, she added. “We expect to hire at least 10,000 youth, but this program will impact so many more.”

Posted on October 22, 2018August 3, 2023

2018 Optimas Award Winners for Innovation

optimas 2018 innovation

The Innovation award recognizes organizations that have developed an innovative workforce management strategy that addresses a fundamental business issue. Here are the winners for 2018:

Gold: SmartSimple Software Inc.

As SmartSimple Software Inc. found its team growing, they realized an innovative solution was needed to ensure ongoing employee engagement.

optimas 2018 innovation Inspired by the time machine from the movie “Back to the Future,” the cloud software provider built its model to manage the flow of incoming issues, ideas and comments, allow discussion and collaboration and finally output the solution, according to the application. It also provides a structure and concrete road map for fostering and developing innovative thought.

Growth in a company can be good, but it also comes with its challenges. SmartSimple began to gain interest from organizations outside of its traditional clients, causing them to move into unexplored territory and causing the company to face a steep learning curve. Because of this, additional talent was recruited to help provide insight into the unknown fields.

“The Flux Capacitor of Innovation is a concentrated dose of the processes and activities that were part of our everyday when we were a smaller organization and innovative thought flourished organically. It has enabled us to carry on our test-and-learn, curiosity-driven, start-up mentality that has brought us to where we are now,” said Alex Wong, director of marketing at SmartSimple.

Workforce 2018 Optimas Awards LogoBefore the Flux Capacitor of Innovation was implemented, communication and ideas weren’t being developed past each team or department. The company realized that communication is key and now encourages every person in the company to share their opinions.

“The Flux Capacitor of Innovation changed this entirely because it introduced an element that every department had common ground in working with — our clients,” said Wong. “The feedback mechanisms that inherently feed the top end of the Flux Capacitor funnel foster inter-team collaboration and communication because every department has a stake in managing the client relationship.”

For its efforts to use the Flux Capacitor of Innovation as a structured road map for communication within the company, SmartSimple Software Inc. is the 2018 Optimas Award winner for Innovation.

Silver: NCSoft

Why not start the first day on the job with a game? NCSoft executives realized they needed to up their game where employee onboarding and retention was concerned.

optimas 2018 innovationTheir onboarding program, NC Launch Onboarding, is a way to make the process more effective and increase employee retention. The site is filled with characters from the company’s games and takes new hires on “quests” to finish items like payroll, playfully referred to as “loot.”

The gaming business knew it needed a change when departments such as IT complained equipment wasn’t being set up on the first day and there wasn’t enough communication between managers and new employees.

The program has succeeded since launching in 2017. Future plans include incorporating more of an employee’s journey into the program, such as leaves of absence and training.

For its efforts to improve its onboarding process with a new platform, NCSoft is the 2018 Optimas Award Silver winner for Innovation.

optimas 2018 innovation Bronze: Riverside Healthcare

For its efforts to use its Well in Mind Employee Support Program to provide strong mental wellness to its employees, Riverside Healthcare is the 2018 Optimas Award Bronze winner for Innovation.

Go here to read about the rest of the Optimas winners for 2018.

Posted on September 25, 2018June 29, 2023

Sector Report: Cloud-Based HR Systems Make Everything Better

cloud based hr systems

Now that companies have finally settled their core systems into the cloud, HR leaders need to get ready for a deluge of innovation. cloud based hr systems

The agility of the cloud means technology teams can deliver new features and interactions quickly and seamlessly. Cloud-based HR systems also mean vendors can implement new iterations faster and with a lot less hassle.

That is good news for clients, said Dan Staley, principal HR technology leader for PwC in Atlanta. “Vendors used to roll out upgrades every one to two years, now they are coming out quarterly.” That adds value for users, who get access to the latest features as soon as they are ready, and allows vendors to increase the functionality of their products.

This is allowing them to speed road map timelines, and making it easier for larger vendors to acquire best-of-breed smaller firms and integrate them into their suite of tools. “We expect to see vendors taking their products’ capabilities further, faster,” he predicted. That includes embedding more social and collaboration capabilities and adding new reports and dashboards. It will also allow them to integrate data from multiple sources, to support workforce analytics — which is where the real business value will be generated.

Also read: Sector Report: Navigating the Patchwork of Screening Regulations

HR management systems vendors have been promising predictive analytics for a long time, without much significant progress. Though that could soon change, said Christa Manning, vice president of Solution Provider Research at Bersin, Deloitte Consulting LLP. “Most platforms are experimenting with machine learning to derive meaningful insights from the masses of employee data they have.”

A Big Year for Big Data

While true predictive analytics for workforce management is still something of a pipe dream, several vendors, including Workday, Visier, Vista, IBM Watson and SAP Successfactors now offer some data analytics capabilities. These tools promise to provide a range of insights into things like whether companies are meeting diversity goals, where they face turnover risks, and training advice for career development.

Many of them are taking advantage of the vast databases stored in the public cloud to hone these systems. The public cloud holds masses of workforce data, which is critical for creating useful algorithms, which in turn are a set of rules the computer uses to analyze the data. “Algorithms need to be trained on large data sets to understand what information is relevant,” Manning pointed out. “They learn from every exchange and get better over time.”

As these algorithms are able to tap more data sets they will be able to offer more targeted insights, Staley predicted. For example, imagine a single system that can review employees’ overtime log sheets, travel spending and their LinkedIn behavior to determine which overworked employees are most likely to quit — then offer HR advice on what they can do to get them to stay. “There are a lot of possibilities for using predictive analytics for making sure your best talent doesn’t leave,” he said.

Analytics tools in the HRMS will also play a role in managing gig workers, according to Cristina Goldt, vice president of HCM products for Workday in Pleasanton, California. Being able to review data regarding all types of workers and projects in a central location will help companies better analyze where and when to hire contractors versus full-timers, who to choose and what to pay them. “They can match skills to different roles, and make their hiring systems more efficient,” she said.

Also read: Sector Report: Your Training Program Is Not Enough

Some vendors, including Workday, are also offering customers the ability to compare their data insights to industry standards to see where they stand. “It makes it possible to benchmark themselves against their peers,” Goldt said.

Are We There Yet?

All of these scenarios are enticing, though the days when business leaders can predict workforce trends through a cursory glance at an analytics dashboard are still well into the future. Unlike other software that is rolled out and ready to use, machine learning takes time and training, and requires access to linked databases with relevant data, Goldt said. “It’s called machine learning for a reason.”

Customers are also still somewhat uncertain about how they will apply analytics in their own organizations. This is partly due to the lack of meaningful case studies, Manning said. “Every vendor is talking about machine learning for HR, but there aren’t a lot of examples yet.”

For companies hearing pitches from their vendors about the magic of workforce analytics, she urged them to “demand live customer references” and real world examples that prove what other companies are doing, how they did it and what results they saw. “Training algorithms requires strong partnerships with vendors who understand the technology as well as how it can deliver actionable information,” she said. This transformation will take time so choosing a vendor you can trust is important.

Posted on September 12, 2018June 29, 2023

Enterprise Human Resources Technology Enters a New Era

In most jobs, employees are likely responsible for a lot of different things, no matter what the job description says.human resources technology

They must communicate certain information and manage certain tasks and resources. Workers definitely have to manage their time and stress levels and measure their responses to requests.

Their job is not to complete a goal plan or fill out a self-evaluation of their performance, engage in learning and development courses, complete an engagement survey or any of the other HR-type tasks employees are frequently asked to do. But to many employees it probably feels like HR thinks that is their job.

And the frustration of being taken out of productivity to complete these tasks is just part of the workload.

The truth is, human resources has struggled for a long time to figure out how to embed these kinds of tasks in day-to-day work of employees so that productivity is uninterrupted. But they have a mountain directly in their way in the form of the HR technology used by many of today’s organizations.

This technology may comprehensively meet the needs of HR, giving them one automated place to track employee goals, completion rates of performance forms and report on employee data. But when it comes to meeting the needs of the people using the technology to get things done, it almost always falls short.

Here’s a secret human resources technology vendors won’t typically tell you: It’s because we purposely built it that way. For a long time, human resources technology was designed to automate processes, enabling users to get from point A to point B. It was designed to be deployed across an entire workforce, driving consistency and scale across departments and teams. And it was designed to meet the needs of one group: human resources.

So, what happened? Over time the workforce changed, the nature of work changed, and the role of technology in our lives became unrecognizable from one year to the next.

Now solutions that focus on processes instead of people, force consistency instead of choice and meet the needs of one stakeholder while remaining disconnected from the rest of the business are quickly becoming obsolete. Consider today’s employee who can get directions from their phone just by asking, or use a voice command to learn about the weather.

Then they come to work and break away from job-related tasks to edit a performance goal in a clunky, outdated system through a series of clicks and menu options that get them there — but without much of a sense as to how or why. Is this sounding familiar?

The focus of enterprise technology is going from business process automation to delivering exceptional employee experiences that connect them to the business in new and meaningful ways. Where the human resources technology of the past was process-centric, rigid and disconnected, it must now become people-centric, flexible and holistic.

As the owners of employee experience and the ultimate stakeholders in whether the workforce is engaged, performing and thriving, business leaders must give their people tools that help not only processes, but people in doing their jobs — wherever their jobs take them, and whatever it is they’re working on.

This is the guiding principle influencing how human resources technology should be designed. An efficient tool must be built to be people-centric, focused on supporting and enhancing how people think, work, and connect. Solutions should also be flexible, with intelligent, adaptable tools that know who individual people are and what they need most in order to be successful.

Above all, they must be holistic and connected, with multiple channels of access, embedded analytics and emerging technologies like machine learning. By creating a comprehensive ecosystem of business solutions and extensions, organizations can ensure alignment with, and visibility to, the business.

The days of human resources as a hindrance to doing great work are over. The new era of HR technology and tools in the hands of employees and leaders is here.

If HR solutions are designed to be truly people-centric, flexible and holistic, businesses can ensure their employees are getting superior experiences and are connected with the business in meaningful ways.

Gabby Burlacu is a human capital management researcher at human resources technology firm SAP SuccessFactors. Comment below or email editors@ workforce.com.

Posted on September 11, 2018June 29, 2023

Everything You Want to Know About Employee Polygraph Tests

Jon Hyman The Practical Employer

Lie detector tests, have been all over the news lately. Reports suggest that Donald Trump wants to administer these examinations to the entire White House staff to identify the author of the anonymous New York Times op-ed.

There are no laws prohibiting the White House from using polygraph tests in this manner. The federal law that regulates their use in the workplace — the Employee Polygraph Protection Act of 1988 — does not apply to the government.

For private-sector employers, however, the EPPA imposes strict prohibitions on the use of any device to render a diagnostic opinion as to the honesty or dishonesty of an individual.

It prohibits employers from:

  • Requiring, requesting, suggesting, or causing an employee or prospective employee to take or submit to any lie detector test.
  • Using, accepting, referring to, or inquiring about the results of any lie detector test of an employee or prospective employee.
  • Discharging, disciplining, discriminating against, denying employment or promotion, or threatening to take any such action against an employee or prospective employee for refusing to take a test, on the basis of the results of a test, for filing a complaint, for testifying in any proceeding, or for exercising any rights afforded by the EPPA.

Despite these strict prohibitions, there are limited exceptions when an employer can administer polygraph tests (but not other forms of lie detector tests).

One exception covers prospective employees of armored car and other similar security companies. Another covers prospective employees of companies that manufacture controlled substances.

Of more general application to most employers, the third exception covers employees who are reasonably suspected of involvement in a workplace incident that results in economic loss to the employer and who had access to the property that is the subject of an investigation. Thus, an employer who reasonably believes that an employee has stolen is able to administer a polygraph test to confirm the employee’s culpability.

Even if this exception applies, employers cannot use polygraph tests carte blanche. There are certain key limits on their administration:

  • Prior to the polygraph examination, the employer must provide to the to-be-examined employee a written notice
    • explaining the employee’s rights and the limitations imposed, including the prohibited areas of questioning, restrictions on the use of test results, and the employee’s right to file a complaint with the Department of Labor alleging violations of EPPA;
    • explaining the specific incident or activity being investigated and the basis for the employer’s reasonable suspicion of the employee’s involvement;
    • reasonably describing the date, time, and place of the examination and the employee’s right to consult with legal counsel or an employee representative before each phase of the test; and
    • describing the nature and characteristics of the polygraph instrument and examination.
  • The employee can refuse to take a test, terminate a test at any time, or decline to take a test because of a medical condition.
  • The results of a test alone cannot be disclosed to anyone other than the employer or employee without their consent.
  • The polygraph examiner must be licensed, and bonded or insured. Also, the examination is subject to strict conduct standards.

Employers that violate the EPPA are subject to a civil money penalty of $20,521 per violation, in addition to legal and equitable relief such as lost wages and reinstatement, and, in the case of a private civil lawsuit, reasonable costs and attorneys’ fees.

Polygraph tests provide employers a powerful tool to confirm and confront employee certain limited employee issues. Employers must carefully follow the EPPA’s requirements so that a slam-dunk termination does not turn into a sure-fire lawsuit for the employee.

Jon Hyman is a partner at Meyers, Roman, Friedberg & Lewis in Cleveland. Comment below or email editors@workforce.com. Follow Hyman’s blog at Workforce.com/PracticalEmployer.

Posted on August 31, 2018June 29, 2023

Monitor Responsibly: How Employers Are Using Workplace Surveillance Devices

In August 2017, Patrick McMullan and more than 50 of his employees had microchips inserted in their fingers live on NBC’s “Today Show.”

McMullan, the president of Three Square Market, a Wisconsin-based company that sells self-service break room vending machines, said it was one of the most exhilarating and nerve-wracking experiences of his life.

An employee who was to be chipped approached him 10 minutes before he was going on air and asked, “Should I do it today or not?” McMullan said “No,” to the employee’s surprise.

“If you’re asking me, it means you’re not certain about it,” he said. “And the answer is ‘No’ until you can be at peace that it’s something you want to do.”

Three Square Market received a lot of media attention after its chip party — both negative and positive, McMullan said — but in the past year Three Square proved that it’s possible to be forward-thinking with technology while also contemplating and respecting employees’ privacy.

“What that has done is inspired our employees to be far more innovative in finding solutions,” he said. “It’s helped all of our businesses in the past year. We’ve had a phenomenal 12 months.”    

As more monitoring devices — phone or video recorders, wristbands, microchips, and wireless sensors that measure employees’ brain waves — are developed, and as these tools become more powerful, there’s greater potential for invading employees’ privacy.

Perceptions toward monitoring devices depend on what type of analysis is being done — an issue that becomes more complex as devices with elaborate capabilities enter the market, said Laurel McNall, associate professor at The College at Brockport, State University of New York. Her research interests revolve around employee attitudes, specifically around perceptions of fairness in the workplace. 

“I do think there is a danger of setting up an electronic sweatshop,” McNall said.

What once appeared a dystopian, futuristic theory is a reality, at least from a technology perspective.

It would be naive to believe that companies will curb their use of monitoring devices that they think will improve business. But it would also be naive to assume that there aren’t organizations or managers that would take advantage of surveillance technology — and the lack of oversight — and cross a line when monitoring employees. In many cases workers are stuck in the middle, feeling as if they don’t have a choice in the matter or any sense of privacy at work.

As employers face the scattered legal landscape of employee monitoring and the often-skeptical reaction of their employees — Three Square Market workers notwithstanding — they must tread carefully and respectfully to find success.

Employee Comfort Levels Toward Monitoring

Most employees find it unacceptable to monitor personal, non-work-related activities, according to a 2018 survey conducted by the HR Metrics & Analytics Summit, “Workplace Privacy & Protection: Is Your Employer Watching Your Every Move?” It’s inappropriate to monitor physical movements around the workplace, for example through wearable technology such as a Fitbit, said 57 percent of employee respondents, while 56 percent said it’s inappropriate to monitor personal interactions with these devices.

The survey also found that 48 percent of employees don’t trust their company to protect their data.

Contextual factors are important in how employees will likely react to monitoring, said Dave Tomczak, an industrial-organizational psychology doctoral student at George Washington University who researches electronic monitoring in organizations. One of his most recent studies analyzed workers with highly complex jobs requiring a lot of creativity and whether they respond the same way as employees with less autonomy in their role.

“When someone has a flexible job, they expect the organization is going to give them the discretion to carry out their work,” he said. “Some of these people will see monitoring as hindering their ability to do their job. They perceive less autonomy in their day-to-day operations.”

It has the opposite effect on people with low-complexity jobs, like cashiering, he added, where it’s more likely that people will feel as though it helps them perform better.

“When monitoring gets in the way of people doing their jobs, that’s where the problems come in,” he said.

People find monitoring that is close to the body — for example, devices underneath employees’ desks that sense body heat to tell how long employees are away from their desks — as the most invasive, he added.

Tomczak’s adviser, Tara Behrend, associate professor of I-O psychology at George Washington University and an expert on privacy and ethical implications of workplace monitoring, said that not all surveillance is equal, and not all people respond similarly to it.

“Talking about what those variables are that make the difference is really critical,” she said. “We don’t want to give into hysteria, we also don’t want to ignore the potential dangers of doing this the wrong way.”

Three Square Market has tried to keep a healthy balance between taking advantage of the new chip technology while respecting the boundaries of some employees, McMullan said.

The radio-frequency identification, or RFID, chips that were implanted don’t track employees’ movements or location but do store data that allows employees to open doors, unlock computers and make payments. The next iteration of this chip technology will store medical and health data, and Three Square is conducting beta testing on that technology. Religious and privacy concerns are two major reasons employees express disinterest, McMullan said, and such objections can’t be ignored.

“Our mission is not to tell people to go get chipped,” he said, adding that one of his key staff members is adamantly against it and keeps him in line.

“Having that voice that said, ‘I’m not comfortable with this,’ has been one of the most valuable pieces because we’re in constant communication, talking back and forth, how would you do this?” McMullan said.

The Privacy Legal Landscape in the U.S.

Policymakers are likely to face confusion on how to deal with the challenges that arise from emerging technology, according to the 2018 “Emerging Tech Trends Report,” written by Amy Webb, founder of The Future Today Institute. The report explores emerging technology trends that will likely impact business, government, education, media and society in coming years.

As this tension between privacy and security continues, the report states, both large tech companies and small tech startups could face problems with “rules and legislation that are either too restrictive or don’t acknowledge that science and tech are in constant motion.”

While this is the prediction, though, and while that might have some truth in Europe with the advent of GDPR — General Data Protection Regulation — the current landscape in the United States is relatively devoid of regulations.

There’s no federal law regarding employee privacy, and if there are any rules, they’re on a state-by-state basis, said employment law attorney Jeffrey Dretler, partner at the Boston office of law firm Fisher Phillips. The closest federal law is the Electronic Communications Privacy Act of 1986. While the act protects wire, oral and electronic communications in transit, it does not protect privacy and was not intended as a privacy protection regulation.

Across the country, if an organization gets an employee’s consent, especially in writing, it can monitor anything. When there’s no consent, that’s where employers run into risks.

Many states have two-party consent laws, meaning both parties have to agree, while others have single-party consent laws, in which an employer could essentially monitor without notifying employees. Still, Dretler advises that best practices dictate that employers get consent no matter the state they’re in.

“It’s not always necessary to get consent, but it’s better to because it insulates the employer from potential cause of action an employee might try to bring,” he said.

Certain states have created explicit laws for specific types of monitoring. States including California, Missouri and North Dakota have passed laws prohibiting the use of microchips, while Illinois and Washington state have protections on employees’ biometric data.

“As tech advances, certainly states pass laws regulating what can and can’t be done,” he said. “But for the most part, the laws focus on informing employees of what the company wants to do, informing employees on how the data will be used and getting employees’ consent for it. They’re not express prohibitions. The prohibition is on doing it without telling anybody or doing it without consent.”

This poses a challenge for privacy-concerned employees, who can’t bring a claim saying they want to work at a company but not have their data collected. The idea is that, as long as an employer tells a potential employee what it intends to monitor, the employee can agree and work there or not agree and find another job.

“As more and more companies start to collect and use this kind of data it becomes harder and harder for employees to find a place to work that doesn’t do it,” Dretler said.

Best Practices for Employee Monitoring

Just like the technology itself will continue to advance, ethical concerns among employees also will increase. Organizational psychologist McNall said there are steps an organization can take to reduce this idea of an electronic sweatshop.   

Psychologists are interested in people’s emotional needs and how to develop a workplace environment that meets those needs, said McNall, who studies employee attitudes specifically around perceptions of fairness in the workplace. Two major needs are autonomy — the ability to have freedom and independence over how to do something — and competency — the ability to do something successfully or efficiently.

Technology is supposed to help employees be more productive at their jobs, thus increasing their competence. But they still want autonomy at work, McNall said.

“Autonomy is at risk; competence potentially could be enhanced,” she said. “How do you help make people feel like they’re still autonomous, that they still have some degree of control?”

Employers can provide that independence by giving employees the ability to turn the monitoring on and off in a protected space in the office, which helps deter feelings of invaded privacy. The caveat is that employees often need to take home and use some tracking devices — like wearables to count steps or track health data — so there may not be a truly protected time or space for employees to disconnect. 

Employers can also be smart about communicating the technology, how it works and its ultimate purpose, she said. The decision to monitor employees requires thoughtfulness and strategy, and organizations should not track for the sake of tracking but because it brings value to both the employer and employee. Employees should know that the potential value is for them.

“Make sure you spend time,” she said. “Be intentional and deliberate in how you word it. Have an adequate, well-thought-out explanation.”

Employers should tell employees what they plan to do with their data and give them a voice in the process, allowing them some level of participation, George Washington University’s Tomczak said. If employers aren’t giving their workforce this information, employees may be skeptical about what’s going on in the background.

“If it’s not transparent, if it’s not feedback-based, then it’s authoritarian,” he said.

McNall also emphasized the importance of building this trust. Although monitoring technology is itself neutral, there’s potential for of privacy invasion and lack of fairness.

“There’s no way monitoring is going away,” she said. “So how can we take an issue like that — this is reality; this is where we are right now — and still make the workplace a better place using science?”

Andie Burjek is a Workforce associate editor. Comment below or email editors@workforce.com.

Posted on August 27, 2018June 29, 2023

7 Tips on How to Handle Cyber Sabotage and Other Insider Tech Threats

Jon Hyman The Practical Employer

Your employees are your company’s weakest link, and therefore, your greatest threat to suffering a cyber-attack and resulting data breach.

While employee negligence (that is, employees not knowing or understanding how their actions risk your company’s data security) remains the biggest cyber risk, another is growing and also demands your attention—the malicious insider.

According to one recent report, malicious insiders are responsible for 27 percent of  all cybercrime. Over at her Employment & Labor Insider Blog, Robin Shea suggests that one recent workplace embarrassment for an employer was the result of internal cyber-vandalism, and not external hacking.

Dark Reading reports on a recent survey, entitled, “Monetizing the Insider: The Growing Symbiosis of Insiders and the Dark Web.”

“Recruitment of insiders is increasing, and the use of the dark web is the current methodology that malicious actors are using to find insiders,” explains researcher Tim Condello, technical account manager and security researcher at RedOwl.

Cybercriminals recruit with the goal of finding insiders to steal data, make illegal trades, or otherwise generate profit. Advanced threat actors look for insiders to place malware within a business’ perimeter security. …

There are three types of people who fall into the “insider” category, says Condello: negligent employees who don’t practice good cyber hygiene, disgruntled employees with ill will, and malicious employees who join organizations with the intent to defraud them.

What is a company to do? I’ve previously discussed how to protect against the negligent employees who don’t practice good cyber hygiene—training, training, and more cyber-training.

No amount of training, however, will stop a disgruntled employee with ill intent, or a malicious employee who joins to do harm.

These latter two categories need more specialized attention—an insider threat program. The Wall Street Journal explains:

Companies are increasingly building out cyber programs to protect themselves from their own employees.… Businesses … are taking advantage of systems … to find internal users who are accidentally exposing their company to hackers or malicious insiders attacking the company. These “systems,” however, can prove costly, especially for the small-business owner. While investment in a technological solution is one way to tackle this serious problem, it’s not the only way. Indeed, there is lots any company, of any size, with any amount of resources, can do to develop an insider threat program.

Aside from the expense of costly monitoring programs, what types of issues should employers include in an insider threat program? Here are seven suggestions:

    1. Heightened monitoring of high-risk employees, such as those who previously violated IT policies, those who seek access to non-job-related business information, and those who are, or are likely to be, disgruntled (i.e., employees who express job dissatisfaction, who are on a performance improvement plan, or who are pending termination).
    2. Deterrence controls, such as data loss prevention, data encryption, access management, endpoint security, mobile security, and cloud security.
    3. Detection controls, such as intrusion detection and prevention, log management, security information and event management, and predictive analytics.
    4. Inventories and audits for computers, mobile devices, and removable media (i.e., USB and external hard drives), both during employment and post-employment.
    5. Policies and programs that promote the resolution of employee grievances and protect whistleblowers.
    6. Pre-employment background checks to help screen out potential problem employees before they become problems.
    7. Termination processes that removes access as early as possible for a terminated employee.

No company can make itself bulletproof from a cyber-attack. Indeed, for all businesses, data breaches are a when issue, not an if issue. However, ignoring the serious threat insiders pose to your company’s cyber security will only serve to accelerate the when.

Jon Hyman is a partner at Meyers, Roman, Friedberg & Lewis in Cleveland. Comment below or email editors@workforce.com. Follow Hyman’s blog at Workforce.com/PracticalEmployer.

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