Avoiding bias in robot speech

Hannon, Charles

doi:10.1145/3236671

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…This may be due to the fact that from its beginning the computer was socially constructed as a male domain [27,28] and that the use, liking and competence of computer technology was associated with being male [29]. The bias can be subtle, with men referred to as "computer programmer", but this is often prefaced with "female" for women, which emphasizes that it is not the norm [30]. Arguably, societal expectations on females as well as gender stereotypes have generally led to different socialization processes where women are expected to take on idealized gendered identities.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

How Age and Gender Affect the Opinions of Computing Students Regarding Computer Usage and Design Needs

2022

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This study aimed to understand the perceptions of young computing science students about women and older people with regard to their computer literacy and how this may affect the design of computer-based systems. Based on photos, participants were asked how likely they thought the person depicted would be to use desktop computers, laptops and smartphones, and how much expertise they thought they would have with each technology. Furthermore, in order to see what impact this could have on systems being developed, we asked what design aspects would be important for the depicted person and whether they thought an adapted technology would be required. This study is based on an existing questionnaire, which was translated into German and extended to explore what impact this may have on system design. The results draw on 200 questionnaires from students in the first year of their Information and Communications Technology (ICT) studies at an Austrian university of applied sciences. Quantitative methods were used to determine if the perceptions varied significantly based on the age and gender of the people depicted. Qualitative analysis was used to evaluate the design aspects mentioned. The results show that there are biases against both older people and women with respect to their perceived expertise with computers. This is also reflected in the design aspects thought to be important for the different cohorts. This is crucial as future systems will be designed by the participants, and these biases may influence whether future systems meet the needs and wishes of all groups or increase the digital divide.

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Section: Theoretical Backgroundmentioning

confidence: 99%

How Age and Gender Affect the Opinions of Computing Students Regarding Computer Usage and Design Needs

2022

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“…Algorithms fatally overrode pilot input in the Boeing 737 Max (Mongan & Kohli, 2020). The Twitter robot Tay quickly turned racist (Hannon, 2018). Self-driving cars have been crashing (Marcus & Davis, 2019, p. 19), and US congress representatives have been identified as criminals (Levin, 2018), to mention just a few examples.…”

Section: Artificial Intelligencementioning

confidence: 99%

AI, Trustworthiness, and the Digital Dirty Harry Problem

Paulsen¹

2022

NJSP

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Artificial Intelligence (AI) has been a game changer on many fronts. For the police it offers new ways of carrying out investigation, surveillance, crime prevention and order maintenance. Questions have been raised about the trustworthiness of some innovative AI-driven applications. Under which circumstances and to what extent should the police be permitted to use emergent technology, i.e. use 'dirty' means in order to reach good ends? In this article, this problem is illustrated by a discussion of two emergent technologies, and possible criteria and test regimes for establishing trustworthiness are suggested towards the end of the article.

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“…Our study is not designed as a reflection on Amazon Echo or voice interfaces-there are emerging critiques of voice assistants including discussions around their gendered or biased character [5,6] connected with concerns of inbuilt bias in the training data they draw upon. Instead, we are interested in delving deeper into how participants in the study encountered and dealt with interactional trouble.…”

Section: Studying Voice Interfaces In Usementioning

confidence: 99%

'This is not what we wanted'

2018

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Design is increasingly said to be about constructing conversations with end users [1]. Advances in underlying voice-related [2] technologies, coupled with the spread of voicedriven agents and dedicated devices such as the Amazon Echo, Google Home, and HomePod, lend weight to the notion of so-called conversational interfaces. In spite of the hyped anticipation of an AI-powered future, however, it is not always clear how the vision of conversation with machines measures up to lived reality, or if it is even relevant to actual design problems.

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Avoiding bias in robot speech

Cited by 6 publications

References 3 publications

How Age and Gender Affect the Opinions of Computing Students Regarding Computer Usage and Design Needs

How Age and Gender Affect the Opinions of Computing Students Regarding Computer Usage and Design Needs

AI, Trustworthiness, and the Digital Dirty Harry Problem

'This is not what we wanted'

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