Ivneet Kaur, Sterling’s Chief Information and Technology Officer, shares her insights on AI, emphasizing the need for a holistic approach that includes strategy, governance, and upskilling. We dive deep into ethical AI, centralization for proper governance, and the necessity of removing bias and protecting privacy and security. We look at the importance of AI standards, interoperability, and third-party auditing to ensure fairness and accuracy. Additionally, we touch on the potential of AI in enhancing customer service and the need for robust security against AI-related attacks.
In this episode, we look at AI, ethical AI, AI security attacks, governance, standards, interoperability, privacy, and explore how these key areas shape the future of work and technology.
Key Takeaways
Adopt a holistic approach to AI, integrating strategy, governance, and upskilling to navigate AI's complexities.Centralizing AI is essential for proper auditing, governance, and driving innovation without compromising ethics.Ethical AI prioritizes the removal of bias, safeguarding privacy, and ensuring security.Government regulation is crucial to prevent AI-driven harm and protect vulnerable populations.Establishing base standards for AI models is vital for interoperability across different providers.Third-party auditing of AI models is necessary to ensure fairness, accuracy, and mitigate risks.
Chapters
00:00 Introduction and Setting the Stage
02:27 The State of AI: Separating Hype from Reality
08:12 Centralizing AI: Balancing Innovation and Governance
11:36 Ethical AI: Doing No Harm
13:42 The Role of Government in Regulating AI
18:58 The Importance of Learning about AI
21:25 Standards in AI
23:08 Interoperability and Portability
26:10 Data Portability and Model Governance
30:09 Trust and Verification in AI
36:05 AI Security Attacks
38:29 Improving Customer Service Experiences
Connect with Ivneet Kaur on LinkedIn here: https://www.linkedin.com/in/ivneetkaur-exec/
Learn more about Sterling here: https://www.sterlingcheck.com/
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