The development process of Responsible AI: The case of ASSISTANT*

Buchholz, Johan; Lang, Benedict; Vyhmeister, Eduardo

doi:10.1016/j.ifacol.2022.09.360

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Research value can be added that supports stakeholders across the entire SDLC and is accessible to different stakeholders (both technical and nontechnical), is streamlined, and expedites the adoption of RAI practices [ 8 ]. There is a need for both an update and an overview of effective and standardized RAI frameworks to reveal the current state of RAI principles driving positive change and mitigating ethical risks [ 2 , 9 - 14 ].…”

Section: Introductionmentioning

confidence: 99%

“…Given the evidence of the feasible effectiveness of RAI mitigation strategies for ethical issues in a broader sense, it is necessary to develop a comprehensive and multidisciplinary approach throughout the AI pipeline by embracing a practical and cohesive approach to RAI implementation [ 14 - 21 ]. Current literature on RAI primarily focuses on ethical principles like transparency and fairness but lacks detailed guidance on their practical implementation across the AI development lifecycle [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

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Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review

Boege,

Milne-Ives,

Meinert

2024

JMIR Res Protoc

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Background Responsible artificial intelligence (RAI) emphasizes the use of ethical frameworks implementing accountability, responsibility, and transparency to address concerns in the deployment and use of artificial intelligence (AI) technologies, including privacy, autonomy, self-determination, bias, and transparency. Standards are under development to guide the support and implementation of AI given these considerations. Objective The purpose of this review is to provide an overview of current research evidence and knowledge gaps regarding the implementation of RAI principles and the occurrence and resolution of ethical issues within AI systems. Methods A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines was proposed. PubMed, ERIC, Scopus, IEEE Xplore, EBSCO, Web of Science, ACM Digital Library, and ProQuest (Arts and Humanities) will be systematically searched for articles published since 2013 that examine RAI principles and ethical concerns within AI. Eligibility assessment will be conducted independently and coded data will be analyzed along themes and stratified across discipline-specific literature. Results The results will be included in the full scoping review, which is expected to start in June 2024 and completed for the submission of publication by the end of 2024. Conclusions This scoping review will summarize the state of evidence and provide an overview of its impact, as well as strengths, weaknesses, and gaps in research implementing RAI principles. The review may also reveal discipline-specific concerns, priorities, and proposed solutions to the concerns. It will thereby identify priority areas that should be the focus of future regulatory options available, connecting theoretical aspects of ethical requirements for principles with practical solutions. International Registered Report Identifier (IRRID) PRR1-10.2196/52349

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review

Boege,

Milne-Ives,

Meinert

2024

JMIR Res Protoc

View full text Add to dashboard Cite

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Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review (Preprint)

Boege,

Milne-Ives,

Meinert

2023

Preprint

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BACKGROUND Responsible artificial intelligence (RAI) emphasizes the use of ethical frameworks implementing accountability, responsibility, and transparency to address concerns in the deployment and use of artificial intelligence (AI) technologies, including privacy, autonomy, self-determination, bias, and transparency. Standards are under development to guide the support and implementation of AI given these considerations. OBJECTIVE The purpose of this review is to provide an overview of current research evidence and knowledge gaps regarding the implementation of RAI principles and the occurrence and resolution of ethical issues within AI systems. METHODS A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines was proposed. PubMed, ERIC, Scopus, IEEE Xplore, EBSCO, Web of Science, ACM Digital Library, and ProQuest (Arts and Humanities) will be systematically searched for articles published since 2013 that examine RAI principles and ethical concerns within AI. Eligibility assessment will be conducted independently and coded data will be analyzed along themes and stratified across discipline-specific literature. RESULTS The results will be included in the full scoping review, which is expected to start in June 2024 and completed for the submission of publication by the end of 2024. CONCLUSIONS This scoping review will summarize the state of evidence and provide an overview of its impact, as well as strengths, weaknesses, and gaps in research implementing RAI principles. The review may also reveal discipline-specific concerns, priorities, and proposed solutions to the concerns. It will thereby identify priority areas that should be the focus of future regulatory options available, connecting theoretical aspects of ethical requirements for principles with practical solutions. INTERNATIONAL REGISTERED REPORT PRR1-10.2196/52349

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The development process of Responsible AI: The case of ASSISTANT*

Cited by 2 publications

References 9 publications

Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review

Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review

Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review (Preprint)

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