Seminar Report - Developing Safe AI Systems

The ?Developing Safe AI Systems? seminar was held at the BCS in London on 27th June 2024. This seminar was all about how to develop and build safe AI systems: it discussed the methods, tools and techniques that should be employed, the all-important approach to testing and V&V, and the quality and safety assurance processes that govern what has to be done. The speakers outlined possible ideas and approaches for these evolving areas.

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Publication Details

Published
2024-10-10
DOI
https://doi.org/10.65391/r3203
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
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article

Seminar Report - Developing Safe AI Systems

Dewi Daniels
Adversarial Robustness in Machine Learning
article

Seminar Report - Developing Safe AI Systems

Dewi Daniels
article en

Abstract

The ?Developing Safe AI Systems? seminar was held at the BCS in London on 27th June 2024. This seminar was all about how to develop and build safe AI systems: it discussed the methods, tools and techniques that should be employed, the all-important approach to testing and V&V, and the quality and safety assurance processes that govern what has to be done. The speakers outlined possible ideas and approaches for these evolving areas.

Vol. 32(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Adversarial Robustness in Machine Learning
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Seminar Report - Developing Safe AI Systems — Dewi Daniels · (2024) | TGRS Research Map | TGRS