Toward trustworthy AI development: mechanisms for supporting verifiable claims

M Brundage, S Avin, J Wang, H Belfield… - arXiv preprint arXiv …, 2020 - arxiv.org
With the recent wave of progress in artificial intelligence (AI) has come a growing awareness
of the large-scale impacts of AI systems, and recognition that existing regulations and norms …

Trustworthy AI: From principles to practices

B Li, P Qi, B Liu, S Di, J Liu, J Pei, J Yi… - ACM Computing Surveys, 2023 - dl.acm.org
The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …

Toward trustworthy artificial intelligence (TAI) in the context of explainability and robustness

B Chander, C John, L Warrier… - ACM Computing …, 2024 - dl.acm.org
From the innovation, Artificial Intelligence (AI) materialized as one of the noticeable research
areas in various technologies and has almost expanded into every aspect of modern human …

The relationship between trust in AI and trustworthy machine learning technologies

E Toreini, M Aitken, K Coopamootoo, K Elliott… - Proceedings of the …, 2020 - dl.acm.org
To design and develop AI-based systems that users and the larger public can justifiably
trust, one needs to understand how machine learning technologies impact trust. To guide …

Toward verified artificial intelligence

SA Seshia, D Sadigh, SS Sastry - Communications of the ACM, 2022 - dl.acm.org
Toward verified artificial intelligence Page 1 46 COMMUNICATIONS OF THE ACM | JULY
2022 | VOL. 65 | NO. 7 contributed articles ILL US TRA TION B Y PETER CRO W THER A …

Filling gaps in trustworthy development of AI

S Avin, H Belfield, M Brundage, G Krueger, J Wang… - Science, 2021 - science.org
The range of application of artificial intelligence (AI) is vast, as is the potential for harm.
Growing awareness of potential risks from AI systems has spurred action to address those …

[PDF][PDF] Safeguarding the Future: Nurturing Safe, Secure, and Trustworthy Artificial Intelligence Ecosystems and the Role of Legal Frameworks

Y Chinthapatla - International Journal of Scientific Research in …, 2024 - researchgate.net
Artificial Intelligence (AI) holds tremendous promise for revolutionizing industries and driving
innovation. However, the rapid advancement of AI technologies also raises concerns about …

Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing

ID Raji, A Smart, RN White, M Mitchell… - Proceedings of the …, 2020 - dl.acm.org
Rising concern for the societal implications of artificial intelligence systems has inspired a
wave of academic and journalistic literature in which deployed systems are audited for harm …

Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling

V Ojewale, R Steed, B Vecchione, A Birhane… - arXiv preprint arXiv …, 2024 - arxiv.org
Audits are critical mechanisms for identifying the risks and limitations of deployed artificial
intelligence (AI) systems. However, the effective execution of AI audits remains incredibly …

Designing for responsible trust in AI systems: A communication perspective

QV Liao, SS Sundar - Proceedings of the 2022 ACM Conference on …, 2022 - dl.acm.org
Current literature and public discourse on “trust in AI” are often focused on the principles
underlying trustworthy AI, with insufficient attention paid to how people develop trust. Given …