The New Shape of Work interview series addresses the challenges and uncertainty in the current business environment with a focus on how to transition to a more agile workforce for the future.

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AI is evolving quickly, and organizations are trying to keep up. Everyone is on the Generative AI journey, but there's a broad distribution of maturity along the path. In this episode, Kate Bravery is joined by Jason Tamara Widjaja, Executive Director of Artificial intelligence at MSD, to discuss the quick evolution of generative AI and the benefit of viewing it through the lens of both value and risk.

Interesting moments:

  • Achieving value

    Across the footprint of GenAI implementations, you have the same pattern where it works better in some contexts than others. But it requires a change in processes, in workforce training and in mindset to realize the value.
  • Choosing language models

    LLMs have already shown value, but within very specific technical domains, you may have a smaller, cheaper specialist model that outperforms an LLM in that that specific domain.
  • Balancing value and risk

    We also need to develop our GenAI ethics, compliance and risk muscles so we have the proper controls, guardrails, training in place to realize the value while not causing harm.
  • Cross-functional governance

    As we started to grapple with the implications of the technology, we discovered that we needed various functions, including HR, to play an active part, so that the whole can effectively govern emerging AI risks.

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