Legal Issues in AI: Bias and Discrimination

HR Examiner

Bias and discrimination are often used interchangeably. But this example is a research question, not discrimination. Discrimination is a legal term that means making an employment decision that adversely affects an individual or group in a protected class.

EEO-1 Component 2 Pay Data Analysis

Biddle Consulting

External Pay Equity: The OFCCP will measure pay equity between companies; specifically, they will compare a company’s EEO-1 Pay Data against others in the relevant business sector. The OFCCP is less clear on their strategy to measure external pay equity with the EEO-1 pay data.

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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 can be a potential analysis or something to look out for in the data.

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 can be a potential analysis or something to look out for in the data.

Data or Intuition: When Should HR Rely on the Numbers?

Cornerstone On Demand

So, how do you know when it makes sense to use data and when to trust your gut? While people do tend to do what they think will make them happiest, sometimes their analysis of the situation is way off the mark. Using your data can save you a lot of headaches in the future.

Data 451

EEO-1 Pay Data Collection Deadline Has Passed – What Employers Need to Know Now

HRWatchdog

You still have time to submit your EEO-1 pay data. Although the EEO-1 Component 2 data (also known as pay data) September 30 deadline is officially behind us, the Equal Employment Opportunity Commission (EEOC) continues to accept this employer data.

Data 55

AI is not a Quick-Fix Solution for Discrimination

HRExecutive

However, the emergence of AI has sparked a fascinating and important debate: Do machines making decisions that were once made by humans reduce or even eliminate discrimination—or can they actually increase bias?

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

Workable

The reason: its resume-analyzing AI discriminated against women by penalizing their resumes. But, as reported, the data the system was fed to learn how to score candidates was “successful resumes” and “unsuccessful resumes” from the past 10 years.

Data 112

Using HR Analytics and Big Data in the Workplace

EmployeeConnect

The concept of using Big Data and HR Analytics in the workplace has become a debatable issue when it was revealed how certain employers are using the help of outside data firms to forecast the health risks of its employees. People expressed their concerns as they felt that their personal and sensitive health information is in jeopardy because if their employers have access to this personal data it can be used in ways which may not be in their favour.

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

Workable

The reason: its resume-analyzing AI discriminated against women by penalizing their resumes. But, as reported, the data the system was fed to learn how to score candidates was “successful resumes” and “unsuccessful resumes” from the past 10 years.

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

The Employer Handbook

Over lunch, we discussed lots of EEOC-related stuff, including LGBT rights — PS, we’ll talk more about that in December, and you’re invited — and systemic discrimination. What is systemic discrimination? How can you avoid systemic discrimination claims?

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. With the additional staff, the OFCCP will provide sufficient expert support for improved data collection and analysis.

Encouraging Signals: More Job Postings cite LGBTQ Diversity in Hiring

Burning Glass Technologies

Over the past five years, Burning Glass Technologies data shows major increases in the number of job postings that include terms like gender identity and sexual orientation, particularly as part of equal opportunity employment statements.

How Do Algorithms Reduce Bias During the Talent Acquisition Process?

Talent Analytics

Part 2: Interview between Greta Roberts, CEO and Carla Gentry, Data Scientist, Talent Analytics, Corp. First we need to remember that the hiring process is a process of discrimination – though not in the way we normally think of discrimination. The single goal during the interview process is to discriminate between someone who can do the job vs. someone who can’t.

Gender Pay Gap and People Analytics: A Practice with Open Data

Littal Shemer

Gender Pay Gap and People Analytics: A Practice with Open Data. However, one issue remained unsolved for years: The lack of open HR data to practice on. A Practice with Open Data. For that reason, I constantly search for open HR data and use it in learning sessions.

Recruiting Best Practices- Your Technology and You

HRchitect

Acquiring new talent in your organization requires you to navigate around laws regarding discrimination, confidentiality of candidate information and a fiscal responsibility to your organization through timely hires and adherence to salary expectations. Data Security.

#HotInHR: Tech Hiring Tons of Talent, Suit Aims To Keep LinkedIn Data Public, Workers Win Only 1% of Civil Rights Lawsuits

HRmarketer

HotInHR: Tech Hiring Tons of Talent, Suit Aims To Keep LinkedIn Data Public, Workers Win Only 1%… Click To Tweet. A new analysis of employee lawsuits finds a low success rate for discrimination, harassment, or retaliation, and highlights the U.S.’s

The 10 Best Pieces of HR Content in 2019

Visier

Catch them if you can: How leaders in data and analytics have pulled ahead . McKinsey’s research department has been reporting since 2017 that data and analytics will make a huge impact on businesses within the next decade of work. How are organizations using data to pull ahead?

A final word (for now) on the EEO-1 reports that you just love to hate

The Employer Handbook

And that EEO-1 must include both the Component 1 data (i.e., the demographic employee data that filers have had to include since like forever) and the dreaded Component 2 data (i.e., lots of W-2 wage data and hours) for calendar years 2017 and 2018.

How AI Can Stop Unconscious Bias In Recruiting

TalentCulture

million to settle a racial discrimination lawsuit with the Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP). As just one high profile hiring discrimination case among many, this latest lawsuit drives home why compliance matters.

Don’t Rewrite Your Policy Manuals, Just Do This Instead…

PerformanceICreate

Stop Discriminating! All you have to do is read the news to see that racism, sexism, religious discrimination, and all the other isms are still alive and, in some places, positively thriving. It used to be that companies would put the EEO posters in the break room and the statements in job ads, then continue to discriminate against anyone who didn’t look and sound like the hiring manager (who looked and sounded exactly like senior management). Dig into your data.

Important 2018 EU Labor Law Changes – Part 1

Global Upside

Some of the breakout trends you’ll see across several EU countries include pay equality, data privacy, GDPR rights and regulations, and plans to make the business environment more attractive to startups and foreign investment via friendlier labor laws. Another significant change to keep close track of is the EU’s General Data Privacy Regulation (GDPR), which will have sweeping implications when going into effect on 25 May 2018. EU Data Protection. Disability Discrimination.

Does AI Have A Conscience?

SAP Innovation

Technology has created a data-driven world. And now, with the power of artificial intelligence (AI), not only can technology analyze data, it can interpret information to guide or make decisions in many aspects of life, including business. The power of AI is data .

The Risks, Challenges, And Rewards Of Ensuring Medical Data Privacy

SAP Innovation

In the third of a three-part series on how technology is transforming healthcare, Greg McStravick, GM and Global Head, SAP Platform GTM, takes a look at the very real issue of medical data privacy and the risks of stockpiling high-value and highly personal data. While personalized medicine holds great promise, the hazards associated with extensive medical data stores are real. Part 2: Personalized Medicine and Big Data: Opportunities And Pitfalls Of IT Innovation.

What Other Employers Can Learn From Uber: Recognizing and Combating Sexism in the Workplace

Compensation Today

Pull together a quick analysis of the percentage of men and women who have been promoted to a manager role or above in the past year. HR Management gender discrimination gender pay gap sexual harassment

Top 10 Reasons to Test Adverse Impact Correctly

HRExecutive

” Archer — an employment-discrimination litigator, legal coach and creator of the EEO Legal Solutions website — is very passionate about imparting what she knows about navigating your way through the ever-more-aggressive EEOC. discrimination EEOC hiring HR profession

Scared Straight – OFCCP Style!

The Tim Sackett Project

That’s all been changing because of big data. Turns out, someone at OFCCP shows them how to run a basic statistical analysis of the data you send them on your applicants and who you hired. So, this data is from a company that had to pay $1.7

HR Moments Matter: 3 Compensation Challenges Solved With People Analytics

Visier

In this series, Allison McConville, Visier’s VP of Human Resources , will share how you can use data to support the people moments that matter, enabling the best decisions for both your employees and your organization.

Is Diversity Training a Waste of Time?

HRExecutive

Dobbin and Kalev’s HBR piece is based on their own examination of three decades’ worth of data, culled from more than 820 United States-based businesses as well as interviews with hundreds of line managers and executives. discrimination diversity training

HR Moments Matter: 3 Compensation Challenges Solved With People Analytics

Visier

In this post, Allison McConville, Visier’s VP of Human Resources , will shares how you can use data to support the people moments that matter, enabling the best compensation decisions for both your employees and your organization. .

Equal Pay Is Not a Favor or a Perk; It’s the Law!

PerformanceICreate

State employment discrimination laws. Like most employment laws, like the requirement for workers’ compensation insurance, sexual harassment training, and discrimination laws, affordability is not a defense. The idea is not to perpetuate past discrimination by basing a job offer on what someone made before. You still can be discriminating if you pay the candidate less. If there is a claim, do I have to give my employee compensation data?

People Analytics and AI in the Workplace: Four Dimensions of Trust

Analytics in HR

Companies use surveys and feedback tools to get our opinions, new tools monitor emails and our network of communications (ONA), we capture data on travel, location, and mobility, and organizations now have data on our wellbeing, fitness, and health. The Risk of Data Abuse.

9 Dos and Don’ts of Employee Engagement Surveys

Get Hppy

Planning reduces stress during analysis, but helps define assumptions and expectations about what you want to achieve. The following are good “rules of thumb” for planning: Keep the data anonymous, but communicate the actions. Decide how to analyze data before you gather it.

What Employee Analytics Won't Tell You

nettime solutions

Many businesses are reaping the benefits from employee data analytics. The point is - business strategy is ultimately geared towards forecasting industry analysis and performance.

#MeToo and the Workplace: HR and Sexual Harassment Policy

LaborSoft

sexual harassment and/or discrimination has always been under the purview of HR, it has become a necessity for HR departments to not only tighten up or edify. This sensitive data requires that maximum security protocols are in place and that your information is protected at all times.