The Ethics of Artificial Intelligence - What...
summary
Argues for concrete evidence not abstract warnings: cites Google labeled people as gorillas and later fixed translation bias, shows a speech-based Alzheimer detector that only works for a Toronto dialect, and notes hiring systems fail — Amazon killed its biased recruiting model — plus population stats like genomic studies skewed to European descent and 72% of resumes filtered before a human sees them as reasons to audit data, report models, and require technical and institutional safeguards.
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chapters (13)
- 0:00AI ethics for developers
- 1:12Morality and ethics in AI
- 3:19Why AI ethics matters
- 6:06Autonomous vehicles dilemmas
- 10:40Public opinions on AI morality
- 12:05AI bias real-world effects
- 16:24Bias in AI hiring tools
- 20:27Unregulated AI challenges
- 23:19Bias reduction vs amplification
- 25:32Solutions for developers
- 30:16Ethical frameworks and regulation
- 32:20Developer ethos concept
- 34:35Q&A
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