Multi-Stakeholder Dialogue for Policy Recommendations on Algorithmic Fairness

Webb, Helena; Koene, Ansgar; Patel, Menisha; Vallejos, Elvira Pérez

doi:10.1145/3217804.3217952

Cited by 12 publications

(10 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies on the inclusion of stakeholders in the design process have already been conducted, especially for fairness (e.g. Webb et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence

2022

View full text Add to dashboard Cite

Despite the immense societal importance of ethically designing artificial intelligence, little research on the public perceptions of ethical artificial intelligence principles exists. This becomes even more striking when considering that ethical artificial intelligence development has the aim to be human-centric and of benefit for the whole society. In this study, we investigate how ethical principles (explainability, fairness, security, accountability, accuracy, privacy, and machine autonomy) are weighted in comparison to each other. This is especially important, since simultaneously considering ethical principles is not only costly, but sometimes even impossible, as developers must make specific trade-off decisions. In this paper, we give first answers on the relative importance of ethical principles given a specific use case—the use of artificial intelligence in tax fraud detection. The results of a large conjoint survey ([Formula: see text]) suggest that, by and large, German respondents evaluate the ethical principles as equally important. However, subsequent cluster analysis shows that different preference models for ethically designed systems exist among the German population. These clusters substantially differ not only in the preferred ethical principles but also in the importance levels of the principles themselves. We further describe how these groups are constituted in terms of sociodemographics as well as opinions on artificial intelligence. Societal implications, as well as design challenges, are discussed.

show abstract

“…Several studies on the inclusion of stakeholders in the design process have already been conducted, especially for fairness (e.g. Webb et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence

2022

View full text Add to dashboard Cite

show abstract

“…Other approaches to date have aimed to make AI more accessible and interpretable to non-specialist audiences. The UnBias project employs multi-stakeholder engagement and public empowerment, with a particular focus on engaging youths in understanding algorithmic bias [31,32,52]. Google's A-Z of AI [25] presents accessible definitions of many AI terms for a public audience, mirrored by CritPlat's parody A-Z of UAVs [27] for Unmanned Autonomous Vehicles, while Google's Model Cards [39] provide digestible summaries of model bias.…”

Section: Related Workmentioning

confidence: 99%

An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists

Krafft

Young

Katell

et al. 2021

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

View full text Add to dashboard Cite

Motivated by the extensive documented disparate harms of artificial intelligence (AI), many recent practitioner-facing reflective tools have been created to promote responsible AI development. However, the use of such tools internally by technology development firms addresses responsible AI as an issue of closed-door compliance rather than a matter of public concern. Recent advocate and activist efforts intervene in AI as a public policy problem, inciting a growing number of cities to pass bans or other ordinances on AI and surveillance technologies. In support of this broader ecology of political actors, we present a set of reflective tools intended to increase public participation in technology advocacy for AI policy action. To this end, the Algorithmic Equity Toolkit (the AEKit) provides a practical policy-facing definition of AI, a flowchart for * † ‡ Contributed equally.

show abstract

“…end-users, mental health practitioners, carers, media producers) must be actively involved in the development, production, implementation, and evaluation of new digital media (Jirotka et al, 2017). Stakeholder engagement provides a valuable methodology to facilitate open and constructive dialogue that can drive the development of meaningful media interventions (Webb et al, 2018) and generates an inclusive and representative exchange of crosssector perspectives revealing the complexity of issues arising from the practical challenges (e.g. defining the key message and topics/content) inherited when producing digital media interventions.…”

Section: Co-creation Of Digital Video Interventionsmentioning

confidence: 99%

Digital video interventions and mental health literacy among young people: a scoping review

Ito‐Jaeger

Vallejos

Curran

et al. 2021

Journal of Mental Health

View full text Add to dashboard Cite

Background: Mental health literacy is important as it relates to understanding mental illness, increasing help-seeking efficacy, and reducing mental illness-related stigma. One method to improve the mental health literacy of young people is a digital video intervention. Aims: A scoping review was conducted to map existing research in the area of digital video interventions for mental health literacy among young people. Methods: The scoping review was conducted following the PRISMA-ScR checklist. All results were screened based on our inclusion criteria. Results: Seventeen studies were selected for analysis. In most studies (n ¼ 14), a digital video was the only intervention whereas three studies took a multi-intervention approach. Only two of the digital video interventions were co-created with people with mental illness or university students. All studies showed positive results in favor of digital video interventions in at least one component of mental health literacy or compared to one of the comparison conditions. Conclusions: Digital video interventions represent effective tools for enhancing mental health literacy. However, there is a need for active involvement of end-users in co-creation and to attend to the production quality so that the digital video intervention is as relevant, informed, and effective as possible.

show abstract

Multi-Stakeholder Dialogue for Policy Recommendations on Algorithmic Fairness

Cited by 12 publications

References 3 publications

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence

An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists

Digital video interventions and mental health literacy among young people: a scoping review

Contact Info

Product

Resources

About