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Other literature type . 2024
License: CC BY
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Other ORP type . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
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The Branding Dilemma of AI: Steering Towards Efficient Regulation

Authors: Engin, Zeynep;

The Branding Dilemma of AI: Steering Towards Efficient Regulation

Abstract

Many experts in the AI field now realise that the term 'Artificial Intelligence,' originally chosen to define this rapidly evolving domain, unwittingly laid the groundwork for some of its most significant challenges. This early nomenclaturemisguided the conversation from the outset, setting questionable objectives for the AI community and shaping a public perception that strayed from reality. This foundational misstep has led to widespread misconceptions about AI’s capabilities, characteristics, potential impact, and the regulatory expectations surrounding the technology. After participating in two high-level panels on AI regulation in December, held at TechUK’s Digital Ethics Summit in London and the United Nations UNCTAD eWeek in Geneva, I was inspired to further develop and clarify my thoughts on the subject through writing. Both sessions encompassed a range of governmental and multilateral initiatives, including the G7 Leaders’ Statement on the Hiroshima AI Process, the Biden Administration's Executive Order on AI, the UK AI Safety Summit’s Bletchley Declaration, and the EU’s AI Act. This piece aims to crystallise and elaborate upon the perspectives I shared during these discussions, offering a deeper exploration of the broader challenges in AI regulation and inviting feedback on the insights I provided.

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Keywords

AI Governance, AI, AI Regulation

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average