Fair, Ethical and High-performing - How Algorithms Make Many Things Better
summary
The session discusses how algorithms can be made fair, ethical and high-performing by combining practices from governance, entrepreneurship and venture perspectives. Speakers include Dr. Elke Eller, Dr. Jan Bergerhoff, and Nancy Nemes, and the conversation covers algorithmic fairness, ethical design and approaches to ensure performance and responsible oversight in applied AI/automation.
AI-written summary · about
chapters (7)
- 0:00Start
- 1:20MEMBERS OF THE ETHICS ADVISORY BOARD FOR HR-TECH
- 3:00WORKING METHODS OF THE ETHICS ADVISORY BOARD FOR HR-TECH
- 5:09APPLICATION EXAMPLES FROM HR-TECH
- 10:24GUIDELINES FOR THE RESPONSIBLE USE OF AI AND OTHER DIGITAL TECHNOLOGIES IN HR (1/2)
- 14:42FIELDS OF APPLICATION OF AI IN HR
- 19:06KEY FINDINGS FROM THE SURVEY
related talks
26mBuilding ethical AI: Transparency, bias mitigation, and trust
32mSo you want to develop ethical AI. What does that mean in practice?
05mToward Ethical AI
19mMoral Outsourcing: Humanity in the age of AI
26mPanel Discussion: Ethical AI - From talk to practice
28mEthical AI?!
01h 15mALGORITHM-ASSISTED DECISION MAKING IN THE PUBLIC SECTOR: GOVERN ALGORITHMS, WHILE...
01h 20mARTOUNTABILITY: ACCOUNTABILITY, AI, AND ART
