Standardizing Ethical Design for Artificial Intelligence and Autonomous Systems

Bryson, Joanna J.; Winfield, Alan

doi:10.1109/mc.2017.154

Cited by 202 publications

(138 citation statements)

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“…Transparency. It is important that the organizational use of AI must be transparent to the stakeholders by allowing them fully understand how an AI application processes their data and arrive to specific decisions [36]. According to the Direct Marketing Association (DMA)'s investigation, 80% of surveyed consumers would be very or moderately comfortable with sharing personal data when they know about how digital data is shared and effectively used for marketing purposes [37].…”

Section: Data Governancementioning

confidence: 99%

“…What makes AI workable is its access to personal information [36]. However, widespread access to personal information (e.g., consumer-generated content, online transactional data, and browsing and clicking data) has brought negative impacts to individual, business, and society [25], [40].…”

Section: Data Governancementioning

confidence: 99%

“…Such programs are to equip managers and employees with a deeper understanding of ethical use of AI and data. IEEE's Initiative for Ethical Considerations in Artificial Intelligence Systems 1 is a program designed to promote ethical and responsible AI and ensure AI architects and solutions developers are educated and trained to prioritize ethical considerations of AI [36]. This program suggests that organizations should provide training courses for ethical use of AI in areas such as methods to guide ethical design, and safety and beneficence of artificial general intelligence and artificial superintelligence to those employees who will play a critical support role of responsible AI.…”

Section: Training and Educationmentioning

confidence: 99%

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Toward an Understanding of Responsible Artificial Intelligence Practices

Wang¹,

Xiong²

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Artificial Intelligence (AI) is influencing all aspects of human and business activities nowadays. Although potential benefits emerged from AI technologies have been widely discussed in many current literature, there is an urgently need to understand how AI can be designed to operate responsibly and act in a manner meeting stakeholders' expectations and applicable regulations. We seek to fill the gap by exploring the practices of responsible AI and identifying the potential benefits when implementing responsible AI practices. In this study, 10 responsible AI cases were selected from different industries to better understand the use of responsible AI in practices. Four responsible AI practices are identified, including governance, ethically design solutions, risk control and training and education and five strategies for firms who are considering to adopt responsible AI practices are recommended.

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Section: Data Governancementioning

confidence: 99%

Section: Data Governancementioning

confidence: 99%

Section: Training and Educationmentioning

confidence: 99%

See 1 more Smart Citation

Toward an Understanding of Responsible Artificial Intelligence Practices

Wang¹,

Xiong²

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

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“…When executing an intentional action, deliberately blinding oneself to an outcome is not ordinarily seen as ending responsibility; rather it is termed wilful negligence. The same should hold true for not following adequate procedures to ensure transparency in the construction of intelligent artefacts Bryson and Winfield 2017). Since we have perfect control over when and how a robot is created, we also have responsibility for it.…”

Section: Artefacts and Responsibilitymentioning

confidence: 99%

Patiency is not a virtue: the design of intelligent systems and systems of ethics

2018

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The question of whether AI systems such as robots can or should be afforded moral agency or patiency is not one amenable either to discovery or simple reasoning, because we as societies constantly reconstruct our artefacts, including our ethical systems. Consequently, the place of AI systems in society is a matter of normative, not descriptive ethics. Here I start from a functionalist assumption, that ethics is the set of behaviour that maintains a society. This assumption allows me to exploit the theoretical biology of sociality and autonomy to explain our moral intuitions. From this grounding I extend to consider possible ethics for maintaining either human-or of artefact-centred societies. I conclude that while constructing AI systems as either moral agents or patients is possible, neither is desirable. In particular, I argue that we are unlikely to construct a coherent ethics in which it it is ethical to afford AI moral subjectivity. We are therefore obliged not to build AI we are obliged to.

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“…It has been prepared by a committee of scientists, academics, ethicists, philosophers and users to provide guidance on potential hazards and protective measures for the design of robots and autonomous systems being used in everyday life. This was followed by the IEEE Standards Association initiative on AI and Autonomous System ethics publishing an Ethical Aligned Design, version 1 being a "A Vision for Prioritizing Human Wellbeing with Artificial Intelligence and Autonomous Systems" (IEEE, 2016;Bryson and Winfield, 2017). It consists of eight sections, each addressing a specific topic related to AI and autonomous systems that has been discussed by a specific committee of the IEEE Global Initiative.…”

Section: Ethical Guidelines For Robot Developersmentioning

confidence: 99%

A Review of Future and Ethical Perspectives of Robotics and AI

Tørresen

2018

Front. Robot. AI

128

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In recent years, there has been increased attention on the possible impact of future robotics and AI systems. Prominent thinkers have publicly warned about the risk of a dystopian future when the complexity of these systems progresses further. These warnings stand in contrast to the current state-of-the-art of the robotics and AI technology. This article reviews work considering both the future potential of robotics and AI systems, and ethical considerations that need to be taken in order to avoid a dystopian future. References to recent initiatives to outline ethical guidelines for both the design of systems and how they should operate are included.

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Standardizing Ethical Design for Artificial Intelligence and Autonomous Systems

Cited by 202 publications

References 0 publications

Toward an Understanding of Responsible Artificial Intelligence Practices

Toward an Understanding of Responsible Artificial Intelligence Practices

Patiency is not a virtue: the design of intelligent systems and systems of ethics

A Review of Future and Ethical Perspectives of Robotics and AI

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