| 1. |
- Bogani, Ronny, et al.
(författare)
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Garbage in, toxic data out : a proposal for ethical artificial intelligence sustainability impact statements
- 2023
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Ingår i: AI and Ethics. - : Springer Nature. - 2730-5953 .- 2730-5961. ; 3, s. 1135-1142
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Tidskriftsartikel (refereegranskat)abstract
- Data and autonomous systems are taking over our lives, from healthcare to smart homes very few aspects of our day to day are not permeated by them. The technological advances enabled by these technologies are limitless. However, with advantages so too come challenges. As these technologies encompass more and more aspects of our lives, we are forgetting the ethical, legal, safety and moral concerns that arise as an outcome of integrating our lives with technology. In this work, we study the lifecycle of artificial intelligence from data gathering to deployment, providing a structured analytical assessment of the potential ethical, safety and legal concerns. The paper then presents the foundations for the first ethical artificial intelligence sustainability statement to guide future development of AI in a safe and sustainable manner.
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| 2. |
- Rotsidis, Alexandros, et al.
(författare)
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Improving Robot Transparency : An Investigation With Mobile Augmented Reality
- 2019
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Ingår i: 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). - : IEEE. - 9781728126227 - 9781728126234
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Konferensbidrag (refereegranskat)abstract
- Autonomous robots can be difficult to understand by their developers, let alone by end users. Yet, as they become increasingly integral parts of our societies, the need for affordable easy to use tools to provide transparency grows. The rise of the smartphone and the improvements in mobile computing performance have gradually allowed Augmented Reality (AR) to become more mobile and affordable. In this paper we review relevant robot systems architecture and propose a new software tool to provide robot transparency through the use of AR technology. Our new tool, ABOD3-AR provides real-time graphical visualisation and debugging of a robot's goals and priorities as a means for both designers and end users to gain a better mental model of the internal state and decision making processes taking place within a robot. We also report on our on-going research programme and planned studies to further understand the effects of transparency to naive users and experts.
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| 3. |
- Rotsidis, Alexandros, et al.
(författare)
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Robots That Make Sense : Transparent Intelligence Through Augmented Reality
- 2019
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Konferensbidrag (refereegranskat)abstract
- Autonomous robots can be difficult to understand by their develop-ers, let alone by end users. Yet, as they become increasingly integralparts of our societies, the need for affordable easy to use tools toprovide transparency grows. The rise of the smartphone and theimprovements in mobile computing performance have graduallyallowed Augmented Reality (AR) to become more mobile and afford-able. In this paper we review relevant robot systems architectureand propose a new software tool to provide robot transparencythrough the use of AR technology. Our new tool, ABOD3-AR pro-vides real-time graphical visualisation and debugging of a robot’sgoals and priorities as a means for both designers and end usersto gain a better mental model of the internal state and decisionmaking processes taking place within a robot. We also report onour on-going research programme and planned studies to furtherunderstand the effects of transparency to naive users and experts.
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| 4. |
- Winfield, Alan F. T., et al.
(författare)
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IEEE P7001 : A Proposed Standard on Transparency
- 2021
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Ingår i: Frontiers in Robotics and AI. - : Frontiers Media S.A.. - 2296-9144. ; 8
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Tidskriftsartikel (refereegranskat)abstract
- This paper describes IEEE P7001, a new draft standard on transparency of autonomous systems1. In the paper, we outline the development and structure of the draft standard. We present the rationale for transparency as a measurable, testable property. We outline five stakeholder groups: users, the general public and bystanders, safety certification agencies, incident/accident investigators and lawyers/expert witnesses, and explain the thinking behind the normative definitions of “levels” of transparency for each stakeholder group in P7001. The paper illustrates the application of P7001 through worked examples of both specification and assessment of fictional autonomous systems.
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