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Risk profile
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"Like manufactured items like soda bottles, mechanized lawnmowers, pharmaceuticals, or cosmetic products, generative AI models can be viewed like a new form of digital products developed by tech companies and deployed widely with the potential to cause harm at scale....Products liability evolved because there was a need to analyze and redress the harms caused by new, mass-produced technological products. The situation facing society as generative AI impacts more people in more ways will be similar to the technological changes that occurred during the twentieth century, with the rise of industrial manufacturing, automobiles, and new, computerized machines. The unsettled question is whether and to what extent products liability theories can sufficiently address the harms of generative AI. So far, the answers to this question are mixed. In Rodgers v. Christie (2020), for example, the Third Circuit ruled that an automated risk model could not be considered a product for products liability purposes because it was not “tangible personal property distributed commercially for use or consumption.”176 However, one year later, in Gonzalez v. Google, Judge Gould of the Ninth Circuit argued that “social media companies should be viewed as making and ‘selling’ their social media products through the device of forced advertising under the eyes of users.”177 Several legal scholars have also proposed products liability as a mechanism for redressing harms of automated systems.178 As generative AI grows more prominent and sophisticated, their harms—often generated automatically without being directly prompted or edited by a human—will force courts to consider the role of products liability in redressing these harms, as well as how old notions of products liability, involving tangible, mechanized products and the companies that manufacture them, should be updated for today’s increasingly digital world.179"
Suggested mitigations
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Source
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Included resource
Generating Harms: Generative AI's Impact & Paths Forward
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.
