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. Let’s take a look at an example.

10 Employee Feedback Examples and How to Use Them

Achievers - Recruiting

Let’s take a look at why employee feedback matters, how to deliver it, some real-life employee feedback examples, and how managers can respond and take action to build a culture of listening. A great way to do this is to keep the focus of the employee feedback on business outcomes; for example, “Because you did such a great job on this project, the client has increased their budget for our services.”. Examples of employee feedback. Positive employee feedback examples.

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Legal Issues in AI: Bias and Discrimination

HR Examiner

Bias and discrimination are often used interchangeably. For example, if I want to understand wages and tenure for mid-level women HR professionals, I would exclude men and temps, then figure out how many years’ experience or job level I wanted to see and eliminate the data on everyone outside that range. But this example is a research question, not discrimination. Discrimination is illegal bias that manifests in employment decisions.

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?

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 is, unfortunately, not an uncommon occurrence, but it might occur more often in the United States than it does in Europe. Across the European job markets we surveyed, fewer respondents reported that they had faced discrimination at work: 36 percent in Germany.

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. We strongly advocate using data and statistics as a means to an end. In analytics we want to contribute to solving business issues using data and statistics. This data set is neatly structured.

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. If co-workers, for example, find out that a worker or his family member’s genetic disorder, any harassment violates GINA. It prohibits genetic information employment discrimination. It also outlaws discrimination based on genetic information about the employee’s relatives.

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? Yes, personality can be one of the items on your checklist, but using objective data allows you to avoid making an irrational—and sometimes illegal—decision. Using your data can save you a lot of headaches in the future. Instead, use data to determine what perks and programs will benefit your employees. That's when your data needs to come out in full force.

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

Cornerstone On Demand

The discipline of human resources is a perfect example. In the age of analytics, why are we so enamored with reducing the “human" in order to embrace the data? " I'm sorry, data-loving colleagues, but the job of recruiting should not be left to software alone. His entire professional life focuses on data, but he urges us to recognize that data is not the whole picture.

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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. We strongly advocate using data and statistics as a means to an end. In analytics we want to contribute to solving business issues using data and statistics. This data set is neatly structured.

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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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? Data-driven recruiting is when you use tangible facts and stats to inform your hiring decisions, from selecting candidates to creating hiring plans. Collect data efficiently.

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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.

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. For example, if women tend to dominate lower-paying salary bands while men are in the higher-paying salary bands, then women are being paid less than men. In this example, note that females dominate the lower 1-5 pay bands, while men dominate the higher 7-12 pay bands.

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

HRExecutive

To meet that need, they have been publishing coronavirus information as it comes in through the company blog and webinars (for example, there were 20,000 registrants for the most recent webinar on COVID-19). But based on recent data, that number will pale compared to 2020. 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.

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EEOC Will Collect Pay Data From W-2s

HRWatchdog

Future EEOC-1 reports will require pay data. Today, the Equal Employment Opportunity Commission (EEOC) announced approval of a revised EEO-1 report that will require large employers to report pay data to the agency, including aggregate information from employee W-2s. As previously reported , the EEOC is collecting pay data to assist the agency in identifying pay disparities that warrant investigation into potential pay discrimination.

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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. As we in HR work to absorb and apply the possibilities that data and analytics present for the design and administration of employee pay, we often look to our peers in Marketing - always several steps ahead of us in this game - for lessons and insights. Specifically, the degree to which Big Data may be creating a new potential and power to discriminate.

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How companies endanger customer data

Qualtrics

However, there’s an expectation that the increasing number of clients have but few companies notice: data privacy and security. Modern business practices and data privacy. Moreover, some businesses choose to make additional money off of their customers by selling their data to third parties. Yet another argument some customers use against their data being collected and stored in excessive amounts is security. It can happen if a data breach occurs.

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Is AI Recruiting Discrimination Inevitable?

HR Daily Advisor

In yesterday’s Advisor , we discussed the idea that using artificial intelligence (AI) or big data in the recruiting process doesn’t eliminate problems with discrimination and bias. AI Recruiting Discrimination is Not Inevitable.

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.

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. For example, when researchers tested Microsoft and IBM’s facial-recognition features in early 2018, they found that machines had trouble recognizing women with darker skin.

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. The EEOC is proposing to revise the federal EEO-1 report to include collecting pay data from employers with more than 100 employees. Compensation Discrimination EEOC fair pay

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Uncoded Bias in AI Hiring

HR Examiner

For example, it is entirely possible to increase the number of job offers extended to female candidates without ever once offering a job to a female with a Body Mass Index over 25. Small hints of social class unmeasured in the core data can prompt a skew within a given category.

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.

Understanding the Reality of Gender Discrimination in Performance Reviews

Women of HR

The impact of gender discrimination on employees. Hidden biases such as gender discrimination, according to Caroline Simard, the director of research at the Clayman Institute, also create “cumulative disadvantage over a woman’s career over time, resulting in lower access to key leadership positions and stretch assignments, advancement and pay.”. How HR can eliminate gender discrimination in performance reviews.

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?” In fact, a 2015 study determined that 43% of intentional data breaches (“cyberattacks”) have had small businesses as their targets. The most fundamental of these steps is what is known as “data mapping”.

How to Avoid Pregnancy Discrimination in the Workplace

Insperity

Avoiding pregnancy discrimination in the workplace is a top priority for employers. And it’s also a hot-topic these days, especially with the new EEOC guidelines surrounding the Pregnancy Discrimination Act of 1978. Examples of reasonable accommodations may include: if the employee needs intermittent leave because of morning sickness, the employer could allow her to take that morning off. This could lead to a discrimination claim.

Here are the results of the diversity, equity, and inclusion survey. You may be surprised…

The Employer Handbook

Here are the three data points that stood out for me. For example, some found these topics to be too divisive for the workplace. That is, come prepared with empirical data to support the return on investment for DEI training. Discrimination and Unlawful Harassment Race

Justify a Job Offer’s Salary with Data

Visier - Talent Acquisition

Candidates are approaching job offer negotiations with unprecedented levels of insight and confidence: The US unemployment rate has reached a historic low, and individuals now have instant access to compensation data via websites like Glassdoor and Salary.com. Emotionally-driven salary decisions can also generate legal and reputational risks associated with pay discrimination. Justifying Pay: External Data is Not Enough. Using Data to Drive Up Offer Acceptance Rates.

EEOC issues 2017 enforcement plan: 6 areas it’s targeting next

HR Morning

For example, in the EEOC’s previous enforcement plan , which covered fiscal years 2013 though 2016, the agency named addressing ADA issues — such as reasonable accommodation, qualification standards and undue hardship — as a top priority. The EEOC will focus on weeding out recruiting and hiring practices that discriminate against classes of individuals based on protected characteristics — race, ethnicity, religion, age, disability, etc.

Learning How to Humanize HR with Data

NCHRA

Every decision should be rooted in data. I'm not going to dispute this, but instead, argue that HR is in a unique position to use data for good. In fact, I would say this is exactly what makes HR uniquely equipped to execute analytics - our data can positively impact people's livelihoods and enrich the employee experience. By treating these employees with respect and using data to ground their actions, Google created invaluable goodwill and loyalty.

EEOC releases sexual harassment stats one year after #MeToo

HR Morning

It’s been a year since countless stories of workplace sexual harassment started making headlines, and new data suggests the number of harassment complaints and lawsuits won’t be declining any time soon. .

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). Similar to EEOC guidelines, as a federal government contractor, Palantir cannot discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability or against military veterans. As just one high profile hiring discrimination case among many, this latest lawsuit drives home why compliance matters.

Why Amazon's AI-driven high volume hiring project failed

Hubert

This leads us to the main issue; Amazon’s AI technology favored men and thus discriminated against women. As AI and machine learning became a “thing”, many following the development hoped for an unbiased technology, one that would save the human race from discriminating against each other. The hope was for the AI to deliver unbiased results within virtually all areas in which human decision-making and attached bias can have discriminating consequences.

5 ways to fight age and gender discrimination in the workplace

Workable

On 24 January 2019, in Boston, Workable hosted a panel discussion titled Diversity in Gender & Age: The Career Challenges Faced by Women at All Ages , to talk about the specific challenges at the intersection of age and gender discrimination in the workplace. He related other examples, including a death in the family, aging parents, and the like. Nevertheless, this can be one example of the types of age discrimination in the workplace.

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.

5 ways to fight age and gender discrimination in the workplace

Workable

On 24 January 2019, in Boston, Workable hosted a panel discussion titled Diversity in Gender & Age: The Career Challenges Faced by Women at All Ages , to talk about the specific challenges at the intersection of age and gender discrimination in the workplace. He related other examples, including a death in the family, aging parents, and the like. Nevertheless, this can be one example of the types of age discrimination in the workplace.

Data Show New Trends in Workplace Sexual Harassment Reports

Zenefits

Though the EEOC has long been the enforcer of employment anti-discrimination laws, the #metoo movement has brought more urgency to the issue. The EEOC wants to lead by example, showing the community that they use the same techniques to prevent sexual harassment in their own workplace. The post Data Show New Trends in Workplace Sexual Harassment Reports appeared first on Zenefits Blog. Employers have a legal obligation to maintain a workplace that is free of sexual harassment.

English-Only Policies Are Presumptively Unlawful Under New FEHA Regs

HR Daily Advisor

According to data from the U.S. For example, the regulations state that English-only rules are never lawful during nonworking time, such as breaks, meal periods, and unpaid employer-sponsored events. Discrimination Because of Accents and English Proficiency also Targeted.

What can you say during a reference check?

Stratus

And, similar to conducting a job interview, it’s a best practice to have a standardized set of questions to avoid instances of discrimination, which will also help you fairly compare candidates. Examples of acceptable behavioral-based questions include: “How did this person manage a team?”. What are some examples of this individual acting as a team player?”. What if the reference only gives you verification of employment data? Reference calls: what can you legally say?

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