Steve Astorino, GM at IBM, discusses challenges in establishing ethical AI practices, executive buy-in, data governance, transparency, risk management, compliance, bias detection, AI regulation, public sector intervention, and ethics in technology.
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Quick takeaways
Neglecting data governance can lead to marketing crises, emphasizing the importance of end-to-end AI model management.
Securing executive buy-in for ethical AI involves integrating responsible practices into business strategies to safeguard brand reputation.
Deep dives
The Challenge of Establishing Ethical AI Practices from an Infrastructure Standpoint
Establishing ethical AI practices poses significant challenges from an infrastructure perspective. The podcast discusses how neglecting good data governance practices at the onset can lead to severe consequences down the line, including marketing and PR crises. The focus lies on the importance of end-to-end lifecycle management of AI models, transparency in decision-making, and compliance with regulations to ensure ethical AI practices. IBM's 'What's Next Governance' technology exemplifies the need for tools that facilitate trust, transparency, bias detection, and compliance in AI implementations.
Data Governance Issues and Ethical Quandaries
The conversation delves into the pivotal role of data governance issues in the emergence of ethical quandaries within AI practices. Data governance and privacy, coupled with the deployment of appropriate tools, shape the foundation for ethical AI. Highlighting the essential aspects of data management, transparency of models, and compliance with regulations, the episode stresses the significance of addressing bias detection and ensuring responsible AI implementation through advanced technologies.
Gaining Executive Buy-In for Ethical AI Initiatives
Securing executive buy-in for ethical AI initiatives entails educating leaders on the importance of data governance practices and ethical considerations. The podcast emphasizes the necessity of integrating responsible AI practices into business strategies to safeguard intellectual property and foster innovation. By demonstrating the impact of ethical AI on brand reputation and providing examples that highlight the repercussions of overlooking data governance, executives are encouraged to prioritize ethical AI implementations for long-term success.
Today’s guest is Steve Astorino, General Manager of Product Development, Data, AI & Sustainability and Canada Lab Director at IBM. Steve returns to the program to discuss the biggest challenges in establishing ethical AI practices from an infrastructure standpoint. Throughout the episode, He offers advice to leaders across industries for winning executive buy-in for responsible AI practices. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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