Responsible AI: Why Businesses Need Reliable AI Governance
Oct 17, 2023
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Christina Montgomery, Chief Privacy and Trust Officer at IBM, discusses AI accountability with Malcolm Gladwell and Laurie Santos. They talk about AI regulation, compliance in the AI age, and the benefits of transparent AI governance. They also address the challenges of maintaining compliance with data protection laws and stress the importance of trustworthy AI governance for businesses.
Deploying responsible AI requires prioritizing AI governance to build trust with customers.
Addressing bias in AI and ensuring transparency through AI governance are crucial for reliable AI systems.
Deep dives
The Importance of Foundational Principles in Using Technology
In this podcast episode, Christina Montgomery, IBM's Chief Privacy and Trust Officer, highlights the significance of having foundational principles when it comes to using technology, particularly artificial intelligence (AI). By aligning technology use with these principles, businesses can build trust and competitive differentiation. Christina emphasizes the need for AI governance to ensure compliance with international regulations and customize AI usage for different industries. She also discusses IBM's approach to AI ethics and the creation of an AI ethics board.
Mitigating Bias in AI and the Role of AI Governance
Christina Montgomery delves into the problem of bias in AI and the importance of addressing it through AI governance. She explains that bias can emerge from biased training data or the output of AI models. IBM has taken steps to tackle bias, including the development of toolkits to detect bias and an ethics by design playbook. They emphasize the need to incorporate bias testing into the product development cycle and provide guidance on tools for measuring bias. Christina also highlights the role of AI governance in ensuring transparency, accountability, and trust in AI systems.
The Need for Precision AI Regulation and Compliance Challenges
Christina Montgomery advocates for precision regulation in AI, where different levels of regulation are applied depending on the risk and impact of AI use cases. She stresses the importance of regulating the use of AI rather than the technology itself. Such regulation should include transparency requirements, clear guidance on high-risk AI uses, and impact assessments for AI systems that can affect people's legal rights. Discussing compliance, Christina acknowledges the increasing complexity faced by businesses in navigating international data protection laws and regulations. She advises businesses to develop a governance program, define baselines, and proactively implement AI governance to stay compliant.
To deploy responsible AI and build trust with customers, businesses need to prioritize AI governance. In this episode of Smart Talks with IBM, Malcolm Gladwell and Laurie Santos discuss AI accountability with Christina Montgomery, Chief Privacy and Trust Officer at IBM. They chat about AI regulation, what compliance means in the AI age, and why transparent AI governance is good for business.