Karthik Ramesh, VP-Head International Markets & Innovation at Emids at Machinecon 2022
summary
Proposes a golden pyramid framework to assess AI/ML by the values embedded, the stakeholder value delivered, and measurable evaluation criteria rather than vague examples, and argues human‑in‑the‑loop training plus reinforcement learning on anomalous and ambiguous cases is required to build machine ethics into systems. Cites Ralph Stacey’s complexity matrix for handling ambiguity, warns that open source AIML at scale enables misuse — drones and automated weapons — and calls ethics in AI a trillion dollar opportunity.
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chapters (6)
- 0:00Intro
- 1:46What is the evolution of technology
- 5:10Machine ethics
- 7:28Observer effect
- 9:19Can AI become hostile
- 10:48Conclusion
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