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How Copyright Law Can Fix Artificial Intelligence's Implicit Bias Problem, Amanda Levendowski
How Copyright Law Can Fix Artificial Intelligence's Implicit Bias Problem, Amanda Levendowski
Georgetown Law Faculty Publications and Other Works
As the use of artificial intelligence (AI) continues to spread, we have seen an increase in examples of AI systems reflecting or exacerbating societal bias, from racist facial recognition to sexist natural language processing. These biases threaten to overshadow AI’s technological gains and potential benefits. While legal and computer science scholars have analyzed many sources of bias, including the unexamined assumptions of its often homogenous creators, flawed algorithms, and incomplete datasets, the role of the law itself has been largely ignored. Yet just as code and culture play significant roles in how AI agents learn about and act in the …
Artificial Meaning, Lawrence B. Solum
Artificial Meaning, Lawrence B. Solum
Georgetown Law Faculty Publications and Other Works
This Essay investigates the concept of artificial meaning, meanings produced by entities other than individual natural persons. That investigation begins in Part I with a preliminary inquiry into the meaning of “meaning,” in which the concept of meaning is disambiguated. The relevant sense of “meaning” for the purpose of this inquiry is captured by the idea of communicative content, although the phrase “linguistic meaning” is also a rough equivalent. Part II presents a thought experiment, The Chinese Intersection, which investigates the creation of artificial meaning produced by an AI that creates legal rules for the regulation of a hyper-complex conflux …