"Good AI" Solves Staffing Problems - Lessons Learned & Best Practice Matching
summary
Rosmarie Steininger explains what counts as AI and how to judge whether AI is “good,” drawing on research and practical lessons to define criteria for trustworthy AI. She discusses how the incoming EU AI regulation will change personnel recruiting and what organizations must do to prepare, and describes best-practice approaches to using AI-based matching to make hiring more accurate and efficient.
AI-written summary · about
chapters (7)
- 0:00AI and recruiting basics
- 1:03AI vs cows explained
- 3:51Trust in AI systems
- 6:18Recruiting software risks
- 9:30Prerequisites for trustworthy AI
- 10:53Ethical AI matching
- 14:03Summary
related talks
19mAI for Everyone – How Artificial Intelligence Will Shape the Work of Tomorrow
44mAI, Corporate Responsibility & Democratic Legitimacy
04mInterview
46mTowards Trustworthy AI: The European Approach
46mAI vs Humans Rewriting the Rules of Success
20mThe Age of AI Agents
01h 01mPanel discussion: Practical and responsible applications of AI in businesses
28mEthical AI?!
