Legal Issues in AI: Bias and Discrimination

HR Examiner

Bias and discrimination are often used interchangeably. But they are not the same. I like chocolate chip cookies, but not the ones with nuts. Sometimes you want to exclude something because the question you are asking or the outcome you are seeking requires it.

Consumer Data Protection Laws: What You Need to Know

Ultimate Software

With the rate at which technology has been advancing, it was perhaps inevitable for the law to lag behind. The Global Response to Consumer Data Protection. The European Union first answered this call with the implementation of the General Data Protection Regulation (GDPR).

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Confronting Discrimination In The Workplace (For Leaders)

Vantage Circle

Discrimination, subtle or blatant, can be seen everywhere in our day to day lives. The workplace is no exception. However, many leaders choose to believe that discrimination in the workplace doesn’t really exist. The truth is not so rosy. Indiscrete discrimination.

The Amazon Example: Can AI Discriminate?

HR Daily Advisor

Instinctively, it would seem that using a machine, data, or artificial intelligence (AI) to review job applicants would create a process that is fairer by default. Unlike people, the machine doesn’t have subconscious biases. That’s the theory, anyway.

COVID-19: Asian American Discrimination and Mental Health Resources

Thrive Global

In the past few months, the coronavirus has triggered countless hate crimes against Asian Americans. As this trend continues, there will surely be a mental health fallout to consider given the negative impact of discrimination on wellbeing. 2) Finding an Online Community.

Governor Phil Murphy wants an “overhaul” of the New Jersey Law Against Discrimination

The Employer Handbook

And I want to try “The Perfect Bite” that Binging With Babish cooked up last week on his YouTube channel. But, Governor Murphy’s proposed changes to the New Jersey Law Against Discrimination (LAD) aren’t nearly as aspirational. Discrimination and Unlawful Harassment

7 HR Data Sets for People Analytics

Analytics in HR

HR data sets are rare finds. In this article, I will list the 7 best HR data sets available online. In addition to the data set, I will also list the challenges in the data. This enormous HR data set focuses on employee absence.

Sex discrimination lawsuits cost four employers a bundle

HR Morning

The Equal Employment Opportunity Commission has made it clear that its chief enforcement target is “systematic” discrimination on the part of employers. In the first case, Mavis Discount Tire, Inc. The suit was resolved late on March 4, when U.S.

Here's Why Intuition Matters In Our Data-Driven Age

Cornerstone On Demand

"Technological progress is like an axe in the hands of a pathological criminal." With all due respect to one of the twentieth century's greatest minds, few among us would argue that technological progress has put us behind. (Do The Value of Nuance in Recruiting.

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7 HR Data Sets for People Analytics

Analytics in HR

HR data sets are rare finds. In this article, I will list the 7 best HR data sets available online. In addition to the data set, I will also list the challenges in the data. This enormous HR data set focuses on employee absence.

EEOC to Tackle Use of Big Data in Employment

HRWatchdog

Does big data trigger discrimination claims? The Equal Employment Opportunity Commission (EEOC) will hold a public meeting tomorrow “Big Data in the Workplace: Examining Implications for Equal Employment Opportunity Law.”

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Four Common Tech Ageism Myths Debunked With Data

Visier

It’s been called the tech industry’s “ silent career killer.” Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. Age, and how it impacts the way a worker is treated, is not a veiled issue within the tech industry.

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Four Common Tech Ageism Myths Debunked With Data

Visier

It’s been called the tech industry’s “ silent career killer.” Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. Age, and how it impacts the way a worker is treated, is not a veiled issue within the tech industry.

Four Common Tech Ageism Myths Debunked With Data

Visier

It’s been called the tech industry’s “ silent career killer.” Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. Age, and how it impacts the way a worker is treated, is not a veiled issue within the tech industry.

HR-tech providers are stepping up with free access to data, apps

HRExecutive

In the wake of the ongoing COVID-19 pandemic, some HR-tech companies are now offering free access to their platforms to employers large and small, with the main driver being a “we’re all in this together” mindset. In the meantime, we’re in this together and want to do our part.”.

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AI is not a Quick-Fix Solution for Discrimination

HRExecutive

Artificial intelligence is already past the tipping point of becoming a prevalent tool to help companies find more and better job applicants and decide who to hire or promote. She says the wedding case is just one example of what machines that recognize patterns can miss.

Data-driven recruiting 101: How to improve your hiring process

Workable

Traditional recruiting used to rely on luck and intuition more than data, which was time-consuming to amass and analyze. But now, with a wealth of software and analytics tools available on the market, anyone can create a data-driven recruiting process. Collect data efficiently.

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Cafe Classic: Could Big Data Bring Big Dilemmas?

Compensation Cafe

Editor's Note: Data and analytics are big topics - and big priorities - in a lot of HR shops these days. A Classic lesson based on our colleagues in Marketing, who have gone before us into this territory and learned a few things the hard way themselves.

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The Compliance Downside of Big Data

Workology

The use of big data in human resources is all the rage today. More and more companies, at least the large ones, are collecting and using employee and prospect data to be able to make determinations about their workforces. The data is being used for promotions, terminations as well as new hires and it should be. There is however, a downside of the use of that data. The Risks of Big Data. Big Data Is the Future.

How companies endanger customer data

Qualtrics

There are many aspects to customer experience (CX) related to online: the ease of navigation and signing up, mobile compatibility , interaction with the support team etc etc. And all of them are necessary to nail down to provide the best CX possible and get a competitive edge.

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EEOC data show Title VII retaliation cases rising

HR Morning

The Equal Employment Opportunity Commission (EEOC) reported in late January that it fielded 72,675 charges of workplace discrimination in 2019 , the largest number alleging retaliation. The number was down slightly from 2018’s tally of more than 76,000 charges.

Don’t blame AI for gender bias – blame the data

Workable

The reason: its resume-analyzing AI discriminated against women by penalizing their resumes. This reported malfunction doesn’t mean that the system was a sexist failure, nor does it say anything about the merits of machine learning or AI in recruitment.

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Attention Employers: Reinstatement of Revised EEO-1 Pay Data (EEO-2)

ApplicantStack

Don’t Miss The 2019 EEO Reporting Deadlines! In March 2019, a federal judge reinstated the requirement for employers to provide pay data in their EEO report. Pay data for your EEO report is due by September 30, 2019 (for 2017 and 2018). The deadline for EEO-1 2018 data is still May 31, 2019. The Equal Employment Opportunity (EEO-1) Report is a mandatory Equal Employment Opportunity Commission (EEOC) compliance survey. We Keep Your Data Safe.

EEOC Makes Changes to Support Enforcement of Pay Discrimination Laws

Paychex

The Equal Employment Opportunity Commission (EEOC) has released a revised EEO-1 Report to collect aggregated employee pay data from private employers and federal contractors and subcontractors that employ 100 or more employees.

Confessions of a Reluctant Feminist: My Role In Perpetuating Workplace Discrimination

Inpower Coaching

The lack of workforce diversity affects virtually every business. We need to figure out how to fight the kind of workplace discrimination that creates cultural uniformity in our businesses for two reasons. I did not always perceive the challenges of diversity this clearly.

Diversity and inclusion training: How to apply it in the workplace

Workable

When you craft a D&I training program, you need to carefully design and apply it to gain its maximum benefits. In this blog post, you can find the skeleton of a diversity and inclusion training program that you can use with adjustments within your company. Learn how.

It’s Time to Transform Calibration: Data In, Conscious & Unconscious Bias Out

Betterworks

Calibration as traditionally practiced is not only distorted by process failures, but has camouflaged conscious and unconscious bias that robs workers and organizations of the human and financial benefits of diversity and inclusion. We have the tools.

Don’t blame AI for gender bias – blame the data

Workable

The reason: its resume-analyzing AI discriminated against women by penalizing their resumes. This reported malfunction doesn’t mean that the system was a sexist failure, nor does it say anything about the merits of machine learning or AI in recruitment.

EEOC Would Collect Pay Data from W-2s Under New Proposal

HRWatchdog

In a significant departure from existing requirements, the Equal Employment Opportunity Commission (EEOC) recently announced that it is seeking to require large employers to report pay data to the agency, including aggregate information from employee W-2s.

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Four Common Tech Ageism Myths Debunked With Data

Visier

It’s been called the tech industry’s “ silent career killer.” Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. Age, and how it impacts the way a worker is treated, is not a veiled issue within the tech industry.

It’s Time to Transform Calibration: Data In, Conscious & Unconscious Bias Out

Betterworks

Calibration as traditionally practiced is not only distorted by process failures, but has camouflaged conscious and unconscious bias that robs workers and organizations of the human and financial benefits of diversity and inclusion. We have the tools.

AI Hiring: Bias in the Code

HR Examiner

“While it is true that a machine can do a better job at relentlessly sticking to a narrow script, it cannot see or understand things that are not in the data. AI Hiring: Bias in the Code. The Tendency Of Data Models To Skew (Bias). The law requires this.

7 Modules Your Compliance Training Resources Must Include

Kitaboo

Compliance training is usually a part of every employee’s initial training process. Compliance training resources and modules generally consist of a long list of code of conduct which includes topics such as anti-harassment, bribery, FCPA (Foreign Corrupt Practice Act), protection of company data, client interactions, usage of company property and data security, etc. Are your Compliance Training Resources Effective?

Four ways to prevent systemic discrimination in your workplace, before an EEOC charge.

The Employer Handbook

A week or so ago, Robin Shea had a great post at the Employment and Labor Insider in which she listed ten of the hottest litigation trends at the EEOC. The source of this great list is David Lopez, EEOC General Counsel. What is systemic discrimination?

It’s Time to Transform Calibration: Data In, Conscious & Unconscious Bias Out

Betterworks

Calibration as traditionally practiced is not only distorted by process failures, but has camouflaged conscious and unconscious bias that robs workers and organizations of the human and financial benefits of diversity and inclusion. We have the tools.

On the Chopping Block for Hiring and Pay Discrimination

HR Daily Advisor

Yesterday we explored how the Office of Federal Contract Compliance Programs (OFCCP) has been taking a hard stance on hiring and pay discrimination cases. Today, we’ll learn the takeaway from all of those cases. Lessons Learned. By Susan Schoenfeld.

Uncoded Bias in AI Hiring

HR Examiner

After all, these systems control various forms of opportunity for the workforce. The click-worthy title read, “Want Less Biased Decisions? The author claimed that machines were much better at detecting and addressing bias. The Tendency Of Data Models To Skew (Bias).

Cybersecurity for Small and Mid-Sized Businesses

HR Counselor's Corner

Cybersecurity” is a bit like plumbing: most everybody thinks it’s a great idea, but we don’t really give it much thought beyond that until something goes horribly wrong, like a data breach. Why would a hacker want to steal data from little-old-me?” By Benjamin Orsatti, Esq.,

Using Data to Prevent Workplace Harassment

EverFi - HR

It is widely understood that an organization will not be successful–and certainly will not grow and thrive–without robust data on all aspects of its operations. In business, organizations routinely gather and study data about sales, production, margin, and customer satisfaction to name just a few; in higher education, metrics around admissions, graduation rates, endowment, and student satisfaction are carefully monitored. Workplace Data Sources and How to Use Them.

Get Your Crystal Balls Ready, HR Data Ninjas

SuccessFactors

There is a way to avoid this continuing to happen… HR, it is time to embrace your inner Data Ninja! Although companies generally have useful workforce data distributed across the business, fewer than 22% of those surveyed by Harvard Business Review felt able to leverage this data.