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Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method
[article]
2021
arXiv
pre-print
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2021
2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)
unpublished
doi:10.1109/rew53955.2021.00042 fatcat:yabv76gnzvfnhaioyvsxsxnpta
doi:10.1109/rew53955.2021.00042 fatcat:yabv76gnzvfnhaioyvsxsxnpta
This research analyzes the ECCOLA method for developing ethical and trustworthy AI systems to determine if it enables AI governance in development processes through ethical practices. ...
As a result, users are calling for better AI governance practices in ethical AI systems. Therefore, AI development methods are encouraged to foster these practices. ...
According to [7] , ethical principles alone are insufficient for developing and deploying ethical and trustworthy AI. ...
arXiv:2111.06207v1
fatcat:jbjez3ydwjhi3a6mxzjj2atigy
Ethical funding for trustworthy AI: proposals to address the responsibilities of funders to ensure that projects adhere to trustworthy AI practice
2021
AI and Ethics
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Such reports beg the question as to why such systems continue to be funded, developed and deployed despite the many published ethical AI principles. ...
and AI audit frameworks. ...
This is particularly important to provide explanations of reasons for rejection based on inadequate ethical AI statements. ...
doi:10.1007/s43681-021-00069-w
pmid:34790951
pmcid:PMC8197676
fatcat:ph7hvy243zdrjolkq2g6siyjqy
The relationship between trust in AI and trustworthy machine learning technologies
[article]
2019
arXiv
pre-print
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To guide technology developments, this paper provides a systematic approach to relate social science concepts of trust with the technologies used in AI-based services and products. ...
To build AI-based systems that users and the public can justifiably trust one needs to understand how machine learning technologies impact trust put in these services. ...
Trustworthy AI is related to normative statements on the qualities of the technology and typically necessitates ethical approaches, while trust is a response to the technologies developed or the processes ...
arXiv:1912.00782v2
fatcat:65yuc7yqxjd5bkc3kyul45huma
Z-Inspection®: A Process to Assess Trustworthy AI
2021
IEEE Transactions on Technology and Society
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In this article, we outline a novel process based on applied ethics, namely, Z-Inspection , to assess if an AI system is trustworthy. ...
To the best of our knowledge, Z-Inspection is the first process to assess trustworthy AI in practice. ...
This work is dedicated to him. ...
doi:10.1109/tts.2021.3066209
fatcat:z646hl5oy5hufasowq3tsrmvue
Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives
[article]
2021
arXiv
pre-print
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National and international guidelines for trustworthy artificial intelligence (AI) consider explainability to be a central facet of trustworthy systems. ...
Moreover, we emphasize that explainability auditing needs to take a multi-disciplinary perspective, and we provide an overview of four perspectives (technical, psychological, ethical, legal) and their ...
Thus, ensuring system explainability seems to be a central step towards trustworthy AI. ...
arXiv:2108.07711v1
fatcat:xxlwgapqhbc5ldzrzqgavme3ue
Acknowledging Sustainability in the Framework of Ethical Certification for AI
2022
Sustainability
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In the past few years, many stakeholders have begun to develop ethical and trustworthiness certification for AI applications. ...
This study furnishes the reader with a discussion of the philosophical arguments that impel the need to include sustainability, in its different forms, among the audit areas of ethical AI certification ...
Sustainability as an Audit Area for an Ethical Certification of AI We argue that sustainability, as an ethical issue, should be considered when certifying ethical and trustworthy AI. ...
doi:10.3390/su14074157
fatcat:bmokyjqpz5c2rjnmbxzyv3t7fi
The Sanction of Authority: Promoting Public Trust in AI
[article]
2021
arXiv
pre-print
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We discuss how existing efforts to develop AI documentation within organizations -- both to inform potential adopters of AI components and support the deliberations of risk and ethics review boards -- ...
We argue that being accountable to the public in ways that earn their trust, through elaborating rules for AI and developing resources for enforcing these rules, is what will ultimately make AI trustworthy ...
The authors would like to thank Richard Harper for his enormously helpful comments on an early draft of this work. ...
arXiv:2102.04221v1
fatcat:copsnyfc5vgn5m6pa6lxctev7q
Trustworthy AI in the Age of Pervasive Computing and Big Data
[article]
2020
arXiv
pre-print
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Trust in AI systems is thus intrinsically linked to ethics, including the ethics of algorithms, the ethics of data, or the ethics of practice. ...
In this paper, we formalise the requirements of trustworthy AI systems through an ethics perspective. ...
Data Auditing: Data auditing for AI systems takes place during both development and deployment. ...
arXiv:2002.05657v1
fatcat:zugg3dfdpfg37ctxdy2othtafe
Trustworthy AI in the Age of Pervasive Computing and Big Data
2020
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
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Trust in AI systems is thus intrinsically linked to ethics, including the ethics of algorithms, the ethics of data, or the ethics of practice. ...
In this paper, we formalise the requirements of trustworthy AI systems through an ethics perspective. ...
Data Auditing: Data auditing for AI systems takes place during both development and deployment. ...
doi:10.1109/percomworkshops48775.2020.9156127
dblp:conf/percom/KumarBTH20
fatcat:h3ft5ktzznfc7fyqnsdyyohfhm
From AI ethics principles to data science practice: a reflection and a gap analysis based on recent frameworks and practical experience
2022
AI and Ethics
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Operationalisation is required, since ethics frameworks are often not suited to be used by data scientists in the development of AI-based services or products. ...
Therefore, in this paper, we aim to contribute to this third wave by mapping AI ethical principles onto the lifecycle of an AI-based digital service or product and combining it with an explicit governance ...
Their process is based on the AI for social good (AI4SG) values [23] , which relate to the ethical principles in the Ethical Guidelines for Trustworthy AI [1] . ...
doi:10.1007/s43681-021-00127-3
fatcat:ohlfkanwwnd2pdv55rj45n7yie
Audit and Assurance of AI Algorithms: A framework to ensure ethical algorithmic practices in Artificial Intelligence
[article]
2021
arXiv
pre-print
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A modern market, auditing, and assurance of algorithms developed to professionalize and industrialize AI, machine learning, and related algorithms. ...
Governments, businesses, and society would have an algorithm audit, which would have systematic verification that algorithms are lawful, ethical, and secure, similar to financial audits. ...
Based on the audit outcome, measures to reduce the risk interventions may enhance the result of the system across the different phases of the algorithm development. ...
arXiv:2107.14046v1
fatcat:ic4bq5f73rcxdg6we4qxdw6mcm
Exploring the Assessment List for Trustworthy AI in the Context of Advanced Driver-Assistance Systems
[article]
2021
arXiv
pre-print
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To help development organizations, AI-HLEG recently published the Assessment List for Trustworthy AI (ALTAI). ...
AI-HLEG defined Trustworthy AI as 1) lawful, 2) ethical, and 3) robust and specified seven corresponding key requirements. ...
A year later, AI-HLEG published the Ethics Guidelines for Trustworthy AI [3] that puts ethical AI as a key component of trustworthy AI. ...
arXiv:2103.09051v1
fatcat:vgeey7c5b5bkdinhqwxqwxefgi
Towards a Roadmap on Software Engineering for Responsible AI
[article]
2022
arXiv
pre-print
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To close the gap in operationalizing responsible AI, this paper aims to develop a roadmap on software engineering for responsible AI. ...
Many ethical regulations, principles, and frameworks for responsible AI have been issued recently. However, they are high level and difficult to put into practice. ...
Ethical audit trail records every step of AI systems from the ethics perspective. ...
arXiv:2203.08594v1
fatcat:b47ffuu6pfb2bh4humtgjaujtu
Systematizing Audit in Algorithmic Recruitment
2021
Journal of Intelligence
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In this article, we apply a systematic algorithm audit framework in the context of the ethically critical industry of algorithmic recruitment systems, exploring how audit assessments on AI-driven systems ...
Such studies have informed the development of artificial intelligence systems (AI) designed to measure individual differences. ...
These verticals are derived from a maturing of the engineering literature referred to in terms of 'AI ethics' and 'trustworthy AI' (Kazim and Koshiyama 2020a; Hagendorff 2020; Bartneck et al. 2021; Dignum ...
doi:10.3390/jintelligence9030046
pmid:34564294
fatcat:53chpacij5brhp6fxmrsqrqupq
Trustworthy AI: From Principles to Practices
[article]
2022
arXiv
pre-print
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The rapid development of Artificial Intelligence (AI) technology has enabled the deployment of various systems based on it. ...
to model development, to system development and deployment, finally to continuous monitoring and governance. ...
Acknowledgments The authors would like to thank Yanqing Chen, Jing Huang, Shuguang Zhang, and Liping Zhang for their valuable suggestions. ...
arXiv:2110.01167v2
fatcat:2u7hqdrfujc5lbcsmwpmxxsd74
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