Consumer Data Protection Laws: What You Need to Know

Ultimate Software

But with high-profile data breaches and concerns over how companies are safeguarding data, there has been a worldwide call to codify new consumer data protection laws and strengthen existing ones. The Global Response to Consumer Data Protection.

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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. However, many leaders choose to believe that discrimination in the workplace doesn’t really exist. Discrimination can be in the little acts itself. Should they fire the ones who are discriminating?

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Workplace Discrimination: Comparing American and European Workplaces

Eightfold

More than 4 in 10 American workers report feeling discrimination in the workplace. . According to our data, 43 percent of American workers say they have faced discrimination at work. . Workplace discrimination can take many forms.

3 Tips on Avoiding Unintentional Discrimination

Pinsight

Unintentional discrimination—commonly known as disparate or adverse impact—affects many employment practices involving candidate selection. So, how do you avoid unintentionally discriminating against others?

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. All too often, we risk re-creating past discrimination, even when we try not to.

Independence Day Commemorates Freedom … from Discrimination

Accurate Background

This act was a landmark civil rights and labor law prohibiting discrimination in public places, providing for the integration of schools and other public facilities, and made employment discrimination illegal.

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.

What is GINA? The federal discrimination law you need to know.

Business Management Daily

GINA, or the Genetic Information Nondiscrimination Act, outlaws genetic discrimination. GINA bars employers from discriminating against or harassing employees based on their genetic information. It prohibits genetic information employment discrimination.

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. According to EEOC’s lawsuit, PMT engaged in a pattern or practice of systemic hiring discrimination when, between Jan.

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

Cornerstone On Demand

In the age of analytics, why are we so enamored with reducing the “human" in order to embrace the data? Undeniably ubiquitous, ATS products are used by 75 percent of companies in the United States alone.

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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.

Four Common Tech Ageism Myths Debunked With Data

Visier

Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry.

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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

Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry.

Four Common Tech Ageism Myths Debunked With Data

Visier

Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry.

A federal court just killed collection of EEO-1 employee pay data dead. Happy Tuesday.

The Employer Handbook

And starting in 2017, employers had to include employee pay data (also known as EEO-1 Component 2 data) with the EEO-1. About 89% of eligible filers have submitted EEO-1 Component 2 data for calendar year 2017 and 89.6% Yes, larger companies still have to complete an EEO-1.

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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. But based on recent data, that number will pale compared to 2020.

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EEO-1 Component 2 Pay Data Analysis

Biddle Consulting

Strategically, the OFCCP has largely shared their two-part game plan: Internal Pay Equity: The OFCCP will measure pay equity within a company to ensure that there is internal equity; in other words, that employees within the same EEO Category are paid equitably.

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. The ultimate liability for any discrimination, Bussing notes, is going to rest with the company, not its contractor.

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. What is data-driven recruiting?

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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. A major risk is that of disparate impact discrimination.

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. Specifically, the degree to which Big Data may be creating a new potential and power to discriminate. HR systems are home to a host of demographic data about our employees.

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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.,

Take diversity and inclusion to the next level in your company culture

CultureIQ

One obvious starting point in seeking racial justice in the workplace is to ask employees how often they have experienced bias or discrimination based on race. Defining what constitutes racial bias and discrimination, however, is more difficult than it appears. By Paul M. Mastrangelo.

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

ApplicantStack

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. Component 1 requires hiring data categorized by the following: Race/ethnicity. EEO Component 2 (EEO-2) is pay data : hours worked and wage paid. I Thought EEO-2 (Pay Data) Was Put On Hold.

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.

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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.

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

Betterworks

It’s time to do calibration right: based on multiple sources of rich data augmented with ethical AI. For companies, calibration “done right” will move organizations more powerfully toward their business goals. And if those stories contradict the data?

Four Common Tech Ageism Myths Debunked With Data

Visier

Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry.

Gender pay discrimination: The $14.3 million cost of a shattered shame ceiling

Compensation Today

And even Ellen Pao, who lost her gender discrimination case, still cost Kleiner Perkins a cool $1 million. (It The only historical safeguard standing between employers having to part with millions of dollars in pay discrimination settlements has been women’s silence.

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.

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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Alleged Pay Discrimination at Google Makes Marc Benioff and Salesforce Look Amazing.

The HR Capitalist

Here's a rundown from the post : "In a panel at a conference organized by Fortune last week, Marc Benioff, the CEO of the cloud-based software company Salesforce, said that he recently ordered a review of all 17,000employees’ salaries to see if female employees’ pay was in line with those of male employees doing similar jobs. According to Fortune , Benioff said that the company is spending about $3 million extra this year on its payroll to make these adjustments. “We

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

Betterworks

It’s time to do calibration right: based on multiple sources of rich data augmented with ethical AI. For companies, calibration “done right” will move organizations more powerfully toward their business goals. And if those stories contradict the data?

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. Small hints of social class unmeasured in the core data can prompt a skew within a given category.

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?

Building Your Company Culture and Employee Engagement Dashboard

CultureIQ

More than ever before, leadership teams and human resources departments understand the important role company culture and employee engagement play in remaining competitive and innovative in the long-term. . Recommended Company Culture and Employee Engagement Dashboard Metrics.

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

Betterworks

It’s time to do calibration right: based on multiple sources of rich data augmented with ethical AI. For companies, calibration “done right” will move organizations more powerfully toward their business goals. And if those stories contradict the data?

Uncoded Bias in AI Hiring

HR Examiner

Small hints of social class unmeasured in the core data can prompt a skew within a given category. So, 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.

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.