Interpreting AI Safety Through Culture, Ethics & Regulation with Rumman Chowdhury
[HPP] Rumman ChowdhuryApril 7, 202538 min
31 connectionsΒ·40 entities in this videoβHumane Intelligence & Responsible AI
- π‘ Humane Intelligence is a nonprofit dedicated to building a community of practice around algorithmic evaluations, aiming to develop talent from the bottom up.
- π― Responsible AI and AI safety are defined as ensuring products work for people by tackling bias, discrimination, misuse, and harm, making technology trustworthy and reliable for everyone.
- π An ecosystem approach is crucial, where large companies (model owners) and smaller entities (vendors, civil society) collaborate for accountability and to capitalize on market opportunities in AI security and governance.
Contextual AI Safety & Global Strategy
- π AI safety and security are not universally defined but are highly use-case, industry, company, geography, and culturally specific, requiring a balance between customization and scalability.
- π Instead of countries trying to build their own Large Language Models (LLMs), a more realistic strategy is to become **
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40 entities
Chapters17 moments
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Transcript142 segments
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Whatβs Discussed
Artificial IntelligenceHumane IntelligenceAlgorithmic EvaluationsResponsible AIAI SafetyAI SecurityAlgorithmic AuditingBias and DiscriminationEcosystem ApproachDigital SovereigntyLarge Language Models (LLMs)Global GovernanceBias Bounty ProgramInformation IntegrityGenerative AI
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