u/Tr_Issei2

Workday has been sued for using AI to discriminate against job seekers

Workday is facing a California lawsuit that accuses the recruiting software provider that it discriminated against certain demographics using AI. Being over 40, black, or disabled are some of the strongest factors.

Quote:

“The judge also refused to dismiss a claim that Workday's software can weed out job applicants based on "proxy indicators" of disabilities and illness, such as gaps in someone's employment history, in violation of the federal Americans with Disabilities Act.

Lin dismissed a claim that Workday's software discriminated against Asian American job applicants, saying the plaintiffs did not follow the proper procedure to add it to the lawsuit. The plaintiffs separately ‌allege that ⁠Workday discriminated against Black job seekers, women and people older than 40.”

Roughly 80% of all US companies and most fortune500 companies use workday to some capacity. At the moment this lawsuit has been raised in California but could spread to other states as well. Hopefully this can give people some idea of what’s going on behind the scenes, the emphatic insistence that the market is “fine”, as well are possible ways to mitigate and get around this. I am livid.

Source: https://www.reuters.com/legal/government/workday-must-face-california-lawsuit-over-ai-bias-job-screening-tools-2026-06-22/

Workday is facing a California lawsuit that accuses the recruiting software provider that it discriminated against certain demographics using AI. Being over 40, black, or disabled are some of the strongest factors.

Quote:

“The judge also refused to dismiss a claim that Workday's software can weed out job applicants based on "proxy indicators" of disabilities and illness, such as gaps in someone's employment history, in violation of the federal Americans with Disabilities Act.

Lin dismissed a claim that Workday's software discriminated against Asian American job applicants, saying the plaintiffs did not follow the proper procedure to add it to the lawsuit. The plaintiffs separately ‌allege that ⁠Workday discriminated against Black job seekers, women and people older than 40.”

Roughly 80% of all US companies and most fortune500 companies use workday to some capacity. At the moment this lawsuit has been raised in California but could spread to other states as well. Hopefully this can give people some idea of what’s going on behind the scenes, the emphatic insistence that the market is “fine”, as well are possible ways to mitigate and get around this. I am livid.

Source: https://www.reuters.com/legal/government/workday-must-face-california-lawsuit-over-ai-bias-job-screening-tools-2026-06-22/

This question goes to all of our members. Which country would you say has the best food sourcing, quality, nutritional potency and lack of unnecessary additives?

Hello everyone, I want to ask current PhD students, postdocs or professors what their opinion is when it comes to LLM usage in academic research, paper drafting, data collection and testing. I’m currently a masters student in computer science, so I mainly want to ask CS or Math Phds for their input, but any field is welcome. I’ve read several new papers so far and they all have an AI disclaimer in later chapters explaining how they are used for boilerplate code, simple data analysis or grammar correction.

On the other hand, a lot of papers have been put out that are completely AI-generated and hallucinate completely imaginary citations, research methods and authors. Are you guys concerned about the usage, and have you noticed AI reliance on current PhD cohorts?

Here are some tips that you can use to get an edge in this market. Any justification for them will be explained upon request. This advice is not shitpost and is extremely serious. Use at your own risk. This is for educational purposes.

1. When you apply to a job, tailor your resume. I know this is basic but you’d be surprised how easily you can pass filters. The point is to tailor to positions you can confidently Larp about. Most interviews will ask basic questions on whatever you larped or happen to be familiar with.

2. When you apply for a job, apply for it twice with another email.

3. Search up on LinkedIn: “target company” <referral>. This will bring up profiles that mention that they hand out referrals in their bios making securing referrals a bit easier.

4. Build a job scraper with Claude that can take all of the jobs you apply for and create tailored resumes for each one.

5. Find out your recruiter, referral or interviewer’s favorite interest such as a sports team. If anything it’ll be a friendly coincidence.

6. Larp experience and embellish it slightly. If you do this right, you can turn a hackathon into work experience.

7. Apply to multiple adjacent positions in the company you applied for so your name can go farther in different teams.

8. Find a girlfriend or boyfriend at the company you want to work at. The referral will come with time.

9. Lie about competing offers in interviews. Be careful about this. You need to emphasize that even though you have competing offers, the company you’re interviewing is a priority.

Good luck!

I’ve always knew that some animals, but bugs in particular don’t veer off too much from their instinctual programming. I’ve always wondered if bugs (at least some of them) could have some rudimentary form of cognition, planning, deviation or memory. Do bugs think, even at all?

This recently published study from Stanford proves that many companies utilize artificial intelligence to score each resume and assign that score for up to 330 days. This means that even qualified applicants who improve their resume over a year or less still have the same score, indicating that competent employees may get overlooked and will never see a human recruiter. Based on everything happening in the CS job market, this makes a lot of sense. There is also a clear bias against black and Asian applicants, requiring far more applications compared to white applicants. I’ve seen people get rejected 15 minutes after applying to a job. Thoughts? The study is linked below.

Study: https://arxiv.org/pdf/2605.27371

On-topic article covering the House version of the 2027 NDAA.

(Note- this is a far more comprehensive application. If you have already commented in the other two, feel free to answer some questions here so the team can gauge you better)

Hello All,

We are currently in the stages of looking for about 3-5 moderators to join the team. Several responsibilities include managing the queue, engaging with mod mail, moderating threads, and removing posts as necessary. Unfortunately you may be prompted to ban or mute people, but of course we’ll discuss each case individually with the team. We are currently experimenting with a least privilege solution to moderating, so you will likely start with bare bones permissions and earn more with time and trust. To qualify, answer these questions in the comments and send us modmail with any more important information we should know. Also, if your Reddit post and comment history is off, kindly turn it on for the remainder of consideration and shut it off afterward:

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Good Morning,

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