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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions. Explainability means these decisions can be easily communicated to others in non-technical terms.

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HR and Talent in the Era of AI

IBM Journey to AI blog

Before adopting AI into their processes, organizations must develop clear intentions for what responsible AI means to them, individually, and identify not only what they are willing to do, but what they are unwilling to do. As such, HR leaders cannot simply rely on data and AI to make decisions. HR leaders set the tone.

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Erik Schwartz, Chief AI Officer (CAIO) Tricon Infotech – Interview Series

Unite.AI

His work, most recently on the Scopus AI project at Elsevier, underscores his commitment to redefining the boundaries of how we engage with information and create a trusted relationship with users. How have your experiences at companies like Comcast, Elsevier, and Microsoft influenced your approach to integrating AI and search technologies?

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Pascal Bornet, Author of IRREPLACEABLE & Intelligent Automation – Interview Series

Unite.AI

For organizations to ensure that AI augments rather than replaces human workers, they need to take a human-centric approach to AI implementation. This means putting people at the heart of their AI strategies and focusing on how the technology can empower and enhance human capabilities. One key aspect is job design.

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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI. To provide ethical integrity , an AI/ML CoE helps integrate robust guidelines and safeguards across the AI/ML lifecycle in collaboration with stakeholders.

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Redefining the CFO: Navigating the AI Revolution in Finance

Unite.AI

Rethinking the CFO's Role in an AI-driven World “AI is prompting CFOs to reimagine not only their day-to-day working practices, but the possibilities for the operational and strategic financial analysis and decisions.” Understanding the workings of Gen AI is imperative to avoid decisions based on inaccurate information.