Singh stresses the significance of large, accurate datasets for AI tools, particularly in decision-making like mortgage underwriting, while Gromowski highlights the necessity of historical data for future AI-informed decisions.
Singh underlines the importance of diverse data sources in developing AI, mentioning CoreLogic's use of accurate data to create reliable decision-making references for clients.
Singh explains the critical role of accurate and diverse data in infusing AI models such as OpenAI, highlighting the bidirectional relationship where AI fuels data but data unlocks AI capabilities.
Gromowski discusses the responsibility aspect of AI, categorizing it into three considerations: Data use ri...
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