The Social and Economic Implications of Artificial Intelligence Technologies in the Near-Term

By Aaron Plasek. 2016

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Citations in the corpus

GPT-3 and InstructGPT: technological dystopianism, utopianism, and “Contextual” perspectives in AI ethics and industry (2022, background): “These choices, made intentionally or not, are conflated when considering that, as the AI Now Report (Crawford et al. [13], p. 5) highlights, “the computer science subfield of AI is heavily dominated by men with largely homogenous racial and ethnic backgrounds” (see also Cheong et al. [8]).”
Towards a Standard for Identifying and Managing Bias in Artificial Intelligence (2022, background): “Yet, these mathematical and computational approaches do not adequately capture the societal impact of AI systems [62, 74, 76, 113].”
The global landscape of AI ethics guidelines (2019, background): “…and processes such as governmental action 59,62,104,109 and oversight 111 , a more interdisciplinary 64,82,102,110 or otherwise diverse 75,76,87,102,104,112 workforce, as well as better inclusion of civil society or other relevant stakeholders in an interactive manner…”
The Ethics of AI Ethics: An Evaluation of Guidelines (2019, background): “Thus, in the AI Now Report 2018, it is repeated that the AI industry “urgently needs new approaches to governance”, since, “internal governance structures at most technology companies are failing to ensure accountability for AI systems” (Whittaker et al.”
Artificial Intelligence and Patient-Centered Decision-Making (2020, background): “More than 100 companies are by now involved in developing AI systems for use in the healthcare sector, and AI applications can by 2026 potentially yield a $150 billion in annual savings for the US healthcare economy (Purdy and Daugherty 2016).”