Summary of How Vader Is Your Ai? Towards a Definition Of Artificial Intelligence Systems Appropriate For Regulation, by Leonardo C. T. Bezerra et al.
How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation
by Leonardo C. T. Bezerra, Alexander E. I. Brownlee, Luana Ferraz Alvarenga, Renan Cipriano Moioli, Thais Vasconcelos Batista
First submitted to arxiv on: 7 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed framework, VADER, aims to evaluate the validity of AI definitions for regulation by scoring their coverage of premises. This framework reproduces principles observed in successful technology regulations while including all AI techniques and approaches while excluding non-AI works. The score is based on a dataset of representative AI, non-AI ICT, and non-ICT examples. VADER was applied to AI regulation proposals from key players, revealing none achieved the required appropriateness score, indicating a need for revision or posing a risk to ICT systems and works. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial intelligence (AI) is changing how we communicate and access information. However, there’s a problem – some definitions of AI are not accurate. This can affect many areas, including technology, engineering, and even math. People from different parts of the world are affected by these misdefinitions. To fix this issue, researchers propose a new way to evaluate AI definitions called VADER. VADER scores how well an AI definition covers what it should include and exclude. The team tested this framework on proposals from important countries like the US, UK, EU, and Brazil. Unfortunately, none of them met the required standards, which can impact technology systems and other areas. |