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20142026
most citedBias and Discrimination in AI: a cross-disciplinary perspective

306 citations · 851 across the 25 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.HC2022★ 6 cited

Ignorance is Bliss? The Effect of Explanations on Perceptions of Voice Assistants

William Seymour, Jose Such

Voice assistants offer a convenient and hands-free way of accessing computing in the home, but a key problem with speech as an interaction modality is how to scaffold accurate ment…

cs.HC2022★ 32 cited

A Systematic Review of Ethical Concerns with Voice Assistants

William Seymour, Xiao Zhan, Mark Cote +1

Since Siri's release in 2011 there have been a growing number of AI-driven domestic voice assistants that are increasingly being integrated into devices such as smartphones and TVs…

cs.HC2022★ 6 cited

When It's Not Worth the Paper It's Written On: A Provocation on the Certification of Skills in the Alexa and Google Assistant Ecosystems

William Seymour, Mark Cote, Jose Such

The increasing reach and functionality of voice assistants has allowed them to become a general-purpose platform for tasks like playing music, accessing information, and controllin…

cs.HC2022★ 8 cited

Can you meaningfully consent in eight seconds? Identifying Ethical Issues with Verbal Consent for Voice Assistants

William Seymour, Mark Cote, Jose Such

Determining how voice assistants should broker consent to share data with third party software has proven to be a complex problem. Devices often require users to switch to companio…

cs.HC2022

Consent on the Fly: Developing Ethical Verbal Consent for Voice Assistants

William Seymour, Mark Cote, Jose Such

Determining how voice assistants should broker consent to share data with third party software has proven to be a complex problem. Devices often require users to switch to companio…

cs.LG2022

StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection

Aqib Rashid, Jose Such

Over the years, most research towards defenses against adversarial attacks on machine learning models has been in the image recognition domain. The ML-based malware detection domai…