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AI is no longer just hype; it's a powerful tool in corporate reporting. But what does it take to truly trust the outputs it produces? On this episode of The Pre-Read, Workiva Chief Information Officer Kim Huffman talks with Deepa Rao, a leader in sustainability and AI governance. They break down the essential steps for executives to govern and validate AI, including the "AIRS" framework for accountability, integrity, reporting, and stewardship. You'll learn why data quality is paramount, why a hybrid approach of artificial intelligence plus human intelligence is the most successful model, and the critical skills teams need to develop to challenge the machine's outputs and build confidence in their data.
Episode Highlights: * 0:00 Introduction * 01:00 Is AI a copywriter or a core part of corporate reporting? * 03:50 The biggest gaps in data readiness and why you can't trust what you can't trace. * 08:30 Best practices for integrating AI: Start small and scale with confidence. * 10:15 The 'ARES' framework for responsible AI governance. * 14:30 The power of a human intelligence and artificial intelligence hybrid model. * 18:00 The critical skills teams need to develop beyond basic AI training.
By Workiva4.8
3939 ratings
AI is no longer just hype; it's a powerful tool in corporate reporting. But what does it take to truly trust the outputs it produces? On this episode of The Pre-Read, Workiva Chief Information Officer Kim Huffman talks with Deepa Rao, a leader in sustainability and AI governance. They break down the essential steps for executives to govern and validate AI, including the "AIRS" framework for accountability, integrity, reporting, and stewardship. You'll learn why data quality is paramount, why a hybrid approach of artificial intelligence plus human intelligence is the most successful model, and the critical skills teams need to develop to challenge the machine's outputs and build confidence in their data.
Episode Highlights: * 0:00 Introduction * 01:00 Is AI a copywriter or a core part of corporate reporting? * 03:50 The biggest gaps in data readiness and why you can't trust what you can't trace. * 08:30 Best practices for integrating AI: Start small and scale with confidence. * 10:15 The 'ARES' framework for responsible AI governance. * 14:30 The power of a human intelligence and artificial intelligence hybrid model. * 18:00 The critical skills teams need to develop beyond basic AI training.

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