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Risk in Context Podcast: Embracing the opportunities of generative AI while mitigating risks

The rapid emergence of generative AI is profoundly impacting organizations across industries and geographies.

The rapid emergence of generative AI is profoundly impacting organizations across industries and geographies. This advanced technology can present transformative opportunities for enhanced business growth, operational efficiencies, and much more.

However, as with other emerging technologies, generative AI also presents challenges and risks. In fact, this year's Global Risks Report, produced by the World Economic Forum with support from Marsh McLennan and others, identified AI-fueled misinformation and disinformation among the most significant risks organizations are facing — in both the short- and long-term. The potential threats, coupled with the proliferation of generative AI, underscore the importance for business leaders to understand and take into account the impact that this emerging technology could have on their organization. Further, it is critical for organizations implementing generative AI in the workplace to do so in an effective manner that helps streamline processes and improve productivity.

In this episode of Risk in Context, Jaymin Kim, Senior Vice President of Emerging Technologies with Marsh's Global Cyber Insurance Center, speaks with Ravin Jesuthasan, Global Leader of Mercer's Transformation Services business, and David Stone, Office of the CISO at Google Cloud. They explore some of the latest trends in the generative AI landscape, the potential impacts on work and the workforce, and the risks and opportunities that organizations should consider.

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Key takeaways

Different types of work require distinct generative AI approaches

Organizations should have a deep understanding of the work being done using generative AI — and the associated risks. Each specific project can determine whether AI can act as a co-pilot or autopilot to substitute, expand, or transform work.

Generative AI can increase risks but also presents opportunities

Organizations can employ generative AI models to bolster their cybersecurity architecture, leveraging massive amounts of information and the ability of AI to review data to defend their networks at the speed and scale of emerging technology.

Governing and regulating AI is an enterprise-wide responsibility

Consider establishing robust, company-wide frameworks to govern AI use, including data security, privacy, and compliance. Consider due diligence and contractual liability with third parties who may use AI.

About our speakers

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Jaymin Kim

Jaymin Kim

Senior Vice President of Emerging Technologies with Marsh's Global Cyber Insurance Center

  • United States

As SVP, Emerging Technologies, Jaymin Kim helps Marsh clients understand and navigate risks that arise with the convergence of new and existing technologies. She advises Fortune 100 companies and is a frequent speaker on navigating opportunities and risks related to emerging technologies, such as artificial intelligence, extended reality, blockchain technology, and digital assets.

Ravin Jesuthasan

Ravin Jesuthasan

Global Leader of Mercer's Transformation Services business

  • United States

Ravin Jesuthasan is the global leader of Mercer’s Transformation Services business. He is a recognized global thought leader, futurist, and bestselling author on the future of work and workforce transformation. He has led multiple research efforts on the global workforce, the emerging digital economy, the rise of artificial intelligence, and the transformation of work.

David Stone

David Stone

Office of the CISO, Google Cloud

  • United States

David Stone has been part of Google Cloud's Office of the CISO since 2021, working with financial services institutions and using his expertise to advise other companies and security teams in order to protect the world in Google’s “shared-fate” model as they digitally transform.

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