Rather than focus on the speculative rights of sentient AI, we need to address human rights
This article by Jordan Richard Schoenherr, Concordia University originally appeared on the Conversation and is published here with permission.
Before we start creating a bill of rights for artificial intelligence, we need to think about how human experiences and biases can affect our trust in artificial intelligence .In popular science, AI has become a catch-all term, often used without much reflection. Artificiality emphasizes the non-biological nature of these systems and the abstract nature of code, as well as nonhuman pathways of learning, decision-making and behaviour.
Intelligence reflects several capabilities — there are domain-specific and domain-general forms of intelligence. Domain-specific intelligence includes tasks like riding bikes, performing surgery, naming birds or playing chess. Domain-general intelligence includes general skills like creativity, reasoning and problem-solving.
Thus, while developers have frequently been hopeful about the prospects of human-like artificial general intelligence, these hopes haven’t yet been realized.Claims that an AI might be sentient present challenges beyond that of general intelligence. Philosophers have long pointed out that we have difficulty in understanding others’ mental states, let alone understanding what constitutes consciousness in non-human animals.
The Turing Test can be used to determine whether a machine can think in a manner indistinguishable from a person. While LaMDA responses are certainly are human-like, this implies that it is better at learning patterns. Sentience isn’t required.
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