Organizations leveraging generative AI (gen AI) need to go beyond policies and critical thinking to mitigate risks. This article proposes a third layer: team-based judgment. It highlights the importance of delegating decisions to experts and fostering regular team discussions to share experiences and adapt to the evolving AI landscape.
Organizations today face the challenge of using generative AI without falling prey to its drawbacks. Many companies have employed two basic layers of risk management strategies: policies on how to use the technology, and critical thinking about gen AI’s outputs. Companies should also adopt a novel third layer of risk management: team-based judgment.
When organizations develop team-based judgment at scale, they will be better equipped to adapt to the fast-evolving AI landscape and face unknown future risks.Generative AI offers transformative opportunities for learning, work, creativity, and decision-making across organizations. This marks a paradigm shift toward unprecedented human-machine collaboration. However, its integration into the way organizations work is complex.
GENERATIVE AI RISK MANAGEMENT TEAMWORK DECISION-MAKING AI ETHICS
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To Mitigate Gen AI’s Risks, Draw on Your Team’s Collective JudgmentPolicies and individual common sense will only get you so far.
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To Mitigate Gen AI’s Risks, Draw on Your Team’s Collective JudgmentPolicies and individual common sense will only get you so far.
Read more »
To Mitigate Gen AI’s Risks, Draw on Your Team’s Collective JudgmentOrganizations today face the challenge of using generative AI without falling prey to its drawbacks. Many companies have employed two basic layers of risk management strategies: policies on how to use the technology, and critical thinking about gen AI’s outputs.
Read more »
To Mitigate Gen AI’s Risks, Draw on Your Team’s Collective JudgmentPolicies and individual common sense will only get you so far.
Read more »
To Mitigate Gen AI’s Risks, Draw on Your Team’s Collective JudgmentPolicies and individual common sense will only get you so far.
Read more »