Reframing AI Discourse
By Deborah G. Johnson, Mario Verdicchio. 2017
140 citations recorded by the source corpus.
A critically important ethical issue facing the AI research community is how AI research and AI products can be responsibly conceptualised and presented to the public. A good deal of fear and concern about uncontrollable AI is now being displayed in public discourse. Public understanding of AI is being shaped in a way that may ultimately impede AI research. The public discourse as well as discourse among AI researchers leads to at least two problems: a confusion about the notion of ‘autonomy’ that induces people to attribute to machines something comparable to human autonomy, and a ‘sociotechnical blindness’ that hides the essential role played by humans at every stage of the design and deployment of an AI system. Here our purpose is to develop and use a language with the aim to reframe the discourse in AI and shed light on the real issues in the discipline.
Subfields: Cognitive Neuroscience, Safety Research, AI Ethics, Fairness & Society, Philosophy
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Citations in the corpus
- Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs (2022, background): “AI systems are part of a broader sociotechnical sys-tem that also involves individual motivations and societal norms (Johnson and Verdicchio, 2017).”
- GPT-3 and InstructGPT: technological dystopianism, utopianism, and “Contextual” perspectives in AI ethics and industry (2022, background): “As Johnson and Verdicchio ([33], p. 574) argue, “A good deal of fear and concern about uncontrollable AI is now being displayed” in public discourse and AI discourse.”
- Ethics of artificial intelligence and robotics (2020, background): “On general AI policy, see (Calo 2018) as well as (Crawford and Calo 2016; Stahl, Timmermans, and Mittelstadt 2016; Johnson and Verdicchio 2017; Giubilini and Savulescu 2018).”