DataFramed #68 The Future of Responsible AI
Aug 9, 2021
Maria Luciana Axente, Responsible AI and AI for Good Lead at PwC UK, discusses the intricate landscape of responsible AI. She highlights the differences between AI ethics and responsible AI, emphasizing the need for governance frameworks and accountability. The conversation touches on the ethical risks, particularly bias and discrimination, and the importance of aligning organizational culture with moral values. With practical insights, she advocates for a toolkit approach to implement responsible AI, empowering data scientists to play a vital role in the journey toward ethical AI.
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Responsible AI vs. AI Ethics
- AI ethics is a new applied ethics discipline studying AI's moral implications.
- Responsible AI is more tactical, providing approaches and tools to achieve ethical AI visions.
Shifting Mindset in AI Adoption
- Public attention to AI's negative impacts has made executives reconsider AI strategies.
- They now balance benefits and risks, prioritizing risk mitigation.
Factors Influencing Responsible AI Adoption
- Responsible AI adoption links to AI maturity and industry context.
- Mature companies and those in sensitive sectors prioritize ethical considerations more.
