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AI in Hiring: Examining Biases and Human Experience

Is artificial intelligence streamlining the hiring process, or is it just automating old biases in new ways? As employers increasingly turn to artificial intelligence for recruitment and hiring processes, researchers are raising important questions about the technology’s effectiveness in creating fair opportunities for all candidates. A recent study by Theresa Fister and George K. Thiruvathukal of Loyola University Chicago explores the human experience of AI job applications and investigates pot

A New Standard for Ethical Hiring: Combining Human Judgement with AI Fairness Tools

The ability of AI-powered systems to make decisions based on complicated sets of data has introduced speed and efficiency to hiring, the loan approval process, fraud detection, and more. But has it enhanced accuracy? Many would argue no, especially those impacted by biased hiring algorithms, including employees and employers. One of the most elusive conundrums is how to fight age-based bias by AI-powered hiring systems. For the 2024 IEEE International Conference on Big Data and Smart Computing

The Claude Bliss Attractor

This is a reported phenomenon where if two copies of Claude talk to each other, they end up spiraling into rapturous discussion of spiritual bliss, Buddhism, and the nature of consciousness. From the system card: Anthropic swears they didn’t do this on purpose; when they ask Claude why this keeps happening, Claude can’t explain. Needless to say, this has made lots of people freak out / speculate wildly. I think there are already a few good partial explanations of this (especially Nostalgebrais

Topics: ai ais bias bliss claude

Study of TikTok, X ‘For You’ feeds in Germany finds far-right political bias ahead of federal elections

Recommendation algorithms operated by social media giants TikTok and X have shown evidence of substantial far-right political bias in Germany ahead of a federal election that takes place Sunday, according to new research carried out by Global Witness. The non-government organization (NGO) undertook an analysis of social media content displayed to new users via algorithmically sorted “For You” feeds — finding both platforms skewed heavily toward amplifying content that favors the far-right AfD p