The Expectations and Risks from AI

Tzimas, Themistoklis

doi:10.1007/978-3-030-78585-7_2

Cited by 3 publications

(1 citation statement)

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“…While there are favorable views regarding the social good that AI can provide (Taddeo and Floridi, 2018 ; Tomasev et al, 2020 ), there are also studies that criticize the unjustified and hurried optimism regarding AI for social good (Moore, 2019 ) as well as studies that highlight the potential risks of AI (Cave and Heigeartaigh, 2018 ; Tzimas, 2021 ). Accordingly, the main contribution of this paper is to provide a critical assessment of the Plan and present recommendations to enhance the Plan toward achieving a trustworthy and safe AI that is welcome in society to progress the world toward a techno-social paradigm.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence research strategy of the United States: critical assessment and policy recommendations

Gursoy

Kakadiaris

2023

Front. Big Data

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The foundations of Artificial Intelligence (AI), a field whose applications are of great use and concern for society, can be traced back to the early years of the second half of the 20th century. Since then, the field has seen increased research output and funding cycles followed by setbacks. The new millennium has seen unprecedented interest in AI progress and expectations with significant financial investments from the public and private sectors. However, the continual acceleration of AI capabilities and real-world applications is not guaranteed. Mainly, accountability of AI systems in the context of the interplay between AI and the broader society is essential for adopting AI systems via the trust placed in them. Continual progress in AI research and development (R&D) can help tackle humanity's most significant challenges to improve social good. The authors of this paper suggest that the careful design of forward-looking research policies serves a crucial function in avoiding potential future setbacks in AI research, development, and use. The United States (US) has kept its leading role in R&D, mainly shaping the global trends in the field. Accordingly, this paper presents a critical assessment of the US National AI R&D Strategic Plan and prescribes six recommendations to improve future research strategies in the US and around the globe.

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