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4 Types of Gen AI Risk and How to Mitigate Them

Harvard Business Review – “According to a poll of 2,500 executives by Gartner last spring, approximately 70% of respondents reported that their organizations are exploring how to integrate generative AI into their organizations, and the global AI adoption rates have been reported to be higher in every surveyed region, according to the recently published Stanford AI Index Report. Technology giants, such as Microsoft and Salesforce, have already integrated generative AI into many of their products and recently committed to offering organizations the option of creating customized versions of their Large Language Models (LLMs). From the Swiss flavor and fragrance company Firmenich to Coca-Cola’s marketing team, companies are intensely curious about whether — and how — these tools can create new value for them. Many organizations, however, are still understandably hesitant to adopt gen AI applications, citing concerns about privacy and security threats, copyright infringement, the possibility of bias and discrimination in its outputs, and other hazards. The downsides of widespread adoption of gen AI range from mildly annoying (such as personalized spam) to truly catastrophic (such as the fast depletion of water sources from vulnerable parts of the planet to support the largest data centers ever constructed). Some organizations have banned their employees from using it. Apple and Samsung, for instance, have banned the internal use of ChatGPT, especially by the software development team, after realizing that potentially sensitive code had been uploaded to the platform, risking the loss of confidential information…”

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