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In a special episode of the Targeting AI podcast from AI Business, host Esther Shittu interviews Christopher Campbell of Lenovo about the challenges and considerations surrounding AI governance, emphasizing the importance of human impact, safety, and accountability. They explore the evolving perspectives on bias and hallucinations in AI, the role of hardware in AI development, and the implications of personal AI agents. The discussion highlights the importance of selecting the right AI partners, maintaining governance in hybrid AI environments, and addressing the complexities of shadow AI and AI governance sovereignty. The episode concludes with advice for organizations on effectively adopting AI governance practices. The podcast was recorded on-site at the Gartner Data & Analytics Summit in Orlando.
Featuring: Christopher Campbell, director of AI governance and global products and services security leader at Lenovo
In this episode, we cover how:
- The human impact and safety of AI are paramount.
- Trust in AI systems is essential for their success.
- Bias and hallucination perspectives have matured over time.
- Accountability in AI governance lies with leadership.
- Choosing AI partners with aligned philosophies is crucial.
- Governance standards apply equally to local and cloud models.
- Shadow AI presents a complex challenge for organizations.
- Sovereignty in AI gives regions more control over their data.
- Understanding technology is key to effective AI adoption.
- There is no one-size-fits-all approach to AI governance.
To learn more about AI governance, safety and sovereignty, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
- AI data governance guidance that gets you to the finish line
- The AI bias playbook: Mitigation strategies for CIOs
- Major sovereign AI funding deals kick off India AI Impact summit
