In this insightful discussion, guest Samta Kapoor, EY’s Americas Energy AI and Responsible AI Leader, dives into the crucial topic of AI bias and discrimination in the workplace. She highlights how AI can reflect societal biases and emphasizes the need for robust guardrails and governance to ensure responsible AI deployment. Samta also discusses the importance of upskilling employees to adapt to AI's capabilities and how embracing AI can drive business transformation without replacing jobs. A must-listen for anyone interested in the ethical implications of AI!
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volunteer_activism ADVICE
Confronting AI Bias
Business leaders must address AI bias and discrimination.
Implement guardrails from design through monitoring to mitigate negative impacts and maintain a positive reputation.
volunteer_activism ADVICE
AI Guardrails and Governance
Implement AI guardrails and governance to ensure responsible scaling and innovation.
Focus on people, processes, and technology to mitigate risks and ensure ethical AI usage.
question_answer ANECDOTE
AI Bias in Financial and Healthcare
A financial institution faced scrutiny for discriminatory mortgage practices due to AI bias.
Healthcare companies also experienced similar issues, highlighting the importance of AI policy and governance.
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Think AI is neutral? Think again. This is the workplace impact you never saw coming. What happens when the tech we rely on to be impartial actually reinforces bias? Join us for a deep dive into AI bias and discrimination with Samta Kapoor, EY’s Americas Energy AI and Responsible AI Leader.
Topics Covered in This Episode: 1. Business Leaders Confronting AI Bias and Discrimination 2. AI Guardrails 3. Bias and Discrimination in AI Models 4. AI and the Future of Work 4. Responsible AI and the Future
Timestamps: 02:10 About Samta Kapoor and her role at EY 05:33 AI has risks, biases; guardrails recommended. 06:42 Governance ensures technology is scaled responsibly. 13:33 Models reflect biases; they mirror societal discrimination. 16:10 Embracing AI enhances adaptability, not job replacement. 19:04 Leveraging AI for business transformation and innovation. 23:05 Technology rapidly changing requires agile adaptation. 25:12 Address AI bias to reduce employee anxiety.
Keywords: generative AI, AI bias, AI discrimination, business leaders, model bias, model discrimination, AI models, AI guardrails, AI governance, AI policy, Ernst and Young, AI risk, AI implementation, AI investment, AI hype, AI fear, AI training, workplace AI, AI understanding, AI usage, AI responsibilities, generative AI implementation, practical AI use cases, AI audit, AI technology advancement, multimodal models, AI tech enablement, AI innovation, company AI policies, AI anxiety.