Evaluating Trustworthiness Of AI Systems Software Engineering Institute (SEI) Webcast Series podcast

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Tech Cybersecurity Securecoding Softwarearchitecture Softwaredevelopment Softwareengineering Carnegie Mellon University Software Engineering Institute SEI Members of Technical Staff Video Podcasting Education

内容由Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff提供。所有播客内容（包括剧集、图形和播客描述）均由 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

Software Engineering Institute (SEI) Webcast Series « »
Evaluating Trustworthiness of AI Systems

2y ago 1:02:08

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内容由Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff提供。所有播客内容（包括剧集、图形和播客描述）均由 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

AI system trustworthiness is dependent on end users' confidence in the system's ability to augment their needs. This confidence is gained through evidence of the system's capabilities. Trustworthy systems are designed with an understanding of the context of use and careful attention to end-user needs. In this webcast, SEI researchers discuss how to evaluate trustworthiness of AI systems given their dynamic nature and the challenges of managing ongoing responsibility for maintaining trustworthiness.

What attendees will learn:

Basic understanding of what makes AI systems trustworthy
How to evaluate system outputs and confidence
How to evaluate trustworthiness to end users (and affected people/communities)

… continue reading

174集单集

#Tech #Cybersecurity #Securecoding #Softwarearchitecture #Softwaredevelopment #Softwareengineering #Carnegie Mellon University Software Engineering Institute #SEI Members of Technical Staff #Video #Podcasting Education

Artwork

Evaluating Trustworthiness of AI Systems

Software Engineering Institute (SEI) Webcast Series

57 subscribers

published 2y ago

分享

MP4•单集首页

内容由Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff提供。所有播客内容（包括剧集、图形和播客描述）均由 Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

AI system trustworthiness is dependent on end users' confidence in the system's ability to augment their needs. This confidence is gained through evidence of the system's capabilities. Trustworthy systems are designed with an understanding of the context of use and careful attention to end-user needs. In this webcast, SEI researchers discuss how to evaluate trustworthiness of AI systems given their dynamic nature and the challenges of managing ongoing responsibility for maintaining trustworthiness.

What attendees will learn:

Basic understanding of what makes AI systems trustworthy
How to evaluate system outputs and confidence
How to evaluate trustworthiness to end users (and affected people/communities)

… continue reading

174集单集

#Tech #Cybersecurity #Securecoding #Softwarearchitecture #Softwaredevelopment #Softwareengineering #Carnegie Mellon University Software Engineering Institute #SEI Members of Technical Staff #Video #Podcasting Education

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