Series 3 Episode 6: Responsible AI 🎙️
On this last episode with Michael Akinwumi, Chief Responsible AI Officer at the National Fair Housing Alliance, we unveiled key insights around responsible AI.
In our conversation, we explored the intersection of responsible AI and data science, summarising in a nutshell that responsibility in AI surrounds the opportunities outweighing the challenges. We also delved into some core principles, emphasising algorithmic fairness, privacy, explainable AI, reliability, and human-centred alternatives. The discussion went beyond the theoretical, offering actionable insights that resonate with data scientist, regulators, stakeholders and enthusiasts.
Michael passionately stressed the need for stakeholders to maintain an open mind during collaborations, recognising the core objective of AI to safeguard consumers and society. Throughout our thought-provoking conversation, we pondered questions such as:
💡 Can we genuinely eliminate bias in AI?
💡 Can we have responsible AI without transparency?
His personal story also sheds more light on all of these. You definitely want to tune in to this enlightening discussion through the ethical and practical facets of AI! Thanks for these useful insights and interesting conversation Michael.
#responsibleai #ethicsinai #datascience #diaryofafdatascientist #explainableai #trustworthyai
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Helping F1000 Brands Prioritize & Act on MarTech, AI Adoption & MOps Decisions || Consultant, Advisor, Author & Speaker || MBA, Doctoral Candidate
1moSo glad that Hadley Spadaccini could join the show and share more about this very cool part of the Medallia platform!