PODCAST:The AI in Business Podcast
TITLE:Creativity and Constraints: A Framework for Responsible Generative AI - with Sreekanth Menon of Genpact
DATE:2024-02-05 00:00:00
URL:
MODEL:gpt-4-gizmo
The AI in Business podcast episode titled "Creativity and Constraints: A Framework for Responsible Generative AI" with Sreekanth Menon of Genpact, delves into the essential aspects of responsible AI practices in the context of generative AI's rising prominence. Menon, the Vice President and Global Leader of AI/ML Services at Genpact, discusses with Daniel Fagella, CEO of eMERGE Technology Research, the significance of incorporating responsible AI disciplines into practical data governance policies. The conversation highlights the challenges posed by AI-generated hallucinations and misinformation, underscoring the necessity of embedding responsible AI principles across all stages of AI application development. Menon outlines an eight-pillar framework to ensure AI's ethical and responsible use, covering domain-infused business metrics, fairness and legal compliance, interpretability, data and model pattern change mitigation, reliability, privacy, autonomy, and traceability.
Menon emphasizes the importance of applying these principles across data layers, foundation models, fine-tuning layers, and consumption layers to mitigate risks and ensure AI outputs are ethical and compliant with regulatory standards. The discussion also explores the practical application of these principles, particularly in the banking industry, where regulatory alignment and adherence to guidelines are critical. Menon advises leaders to establish a clear vision and strategy for responsible AI at the enterprise level, develop methods and tools for implementation, and create a roadmap for governance and compliance. He stresses the importance of continuous education, empowerment, and the establishment of an auditing process for AI models to embed responsible AI practices within organizational culture. This episode provides actionable insights for business leaders seeking to leverage generative AI capabilities responsibly, ensuring that AI applications align with ethical standards and contribute positively to society.
