Multivariant, Fungible & Disruptive Use Cases & Test Cases of Generative AI
Date of Addition
26 April 2024
Generative AI, a form of artificial intelligence, possesses the capability to generate fresh content, encompassing text, images, and music. It harbors the potential to bring about significant transformations across various industries and sectors. Nevertheless, its emergence also presents a range of legal and ethical dilemmas.
Here is an excerpt from Deciphering Regulative Methods for Generative AI, VLiGTA-TR-002 (2023):
First, for a product, service, use case or test case to be considered multivariant, it must have a multi-sector impact. The multi-sector impact could be disruption of jobs, work opportunities, technical & industrial standards and certain negative implications, such as human manipulation.
Second, for a product, service, use case or test case to be considered fungible, it must transform its core purpose by changing its sectoral priorities (like for example, a generative AI product may have been useful for the FMCG sector, but could also be used by companies in the pharmaceutical sector for some reasons). Relevant legal concerns could be whether the shift disrupts the previous sector, or is causing collusion or is disrupting the new sector with negative implications.
Third, for a product, service, use case or test case to be disruptive, it must affect the status quo of certain industrial and market practices of a sector. For example, maybe a generative AI tool could be capable of creating certain work opportunities or rendering them dysfunctional for human employees or freelancers. Even otherwise, the generative AI tool could be capable in shaping work and ethical standards due to its intervention.
This phrase was proposed in the case of Generative AI use cases and test cases in Deciphering Regulative Methods for Generative AI, VLiGTA-TR-002 (2023).
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