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Author(s): Tom Sorell [sup.1] Author Affiliations: (1) grid.7372.1, 0000 0000 8809 1613, University of Warwick, , Coventry, UK In its most familiar form, meritocracy is supposed to be a fair [...]

This paper considers the question of how police-related AI projects and data projects in general are normatively assessed in the UK. After locating data ethics in relation to policing ethics, I shall consider the workings of perhaps the leading regional data ethics committee in the UK. I go on to consider the approach of another committee that might in the future provide national data ethics advice for the police. Finally, I summarize the normative ethics frameworks in use in the two committees and their heavy reliance on the concepts of necessity and proportionality. I suggest that these concepts may have to be supplemented by systematic thinking about varieties of harm and the way in which severe harm may generate obligations to prevent it, where prevention may be assisted by AI models. [ABSTRACT FROM AUTHOR]

Audio and video footage produced with the help of AI can show politicians doing discreditable things that they have not actually done. This is deepfaked material. Deepfakes are sometimes claimed to have special powers to harm the people depicted and their audiences—powers that more traditional forms of faked imagery and sound footage lack. According to some philosophers, deepfakes are particularly “believable,” and widely available technology will soon make deepfakes proliferate. I first give reasons why deepfake technology is not particularly well suited to producing “believable” political misinformation in a sense to be defined. Next, I challenge claims from Don Fallis and Regina Rini about the consequences of the wide availability of deepfakes. My argument is not that deepfakes are harmless, but that their power to do major harm is highly conditional in liberal party political environments that contain sophisticated mass-media. [ABSTRACT FROM AUTHOR]

A new stream of research and development responds to changes in life expectancy across the world. It includes technologies which enhance well-being of individuals, specifically for older people. The ACCOMPANY project focuses on home companion technologies and issues surrounding technology development for assistive purposes. The project responds to some overlooked aspects of technology design, divided into multiple areas such as empathic and social human-robot interaction, robot learning and memory visualisation, and monitoring persons’ activities at home. To bring these aspects together, a dedicated task is identified to ensure technological integration of these multiple approaches on an existing robotic platform, Care-O-Bot®3 in the context of a smart-home environment utilising a multitude of sensor arrays. Formative and summative evaluation cycles are then used to assess the emerging prototype towards identifying acceptable behaviours and roles for the robot, for example role as a butler or a trainer, while also comparing user requirements to achieved progress. In a novel approach, the project considers ethical concerns and by highlighting principles such as autonomy, independence, enablement, safety and privacy, it embarks on providing a discussion medium where user views on these principles and the existing tension between some of these principles, for example tension between privacy and autonomy over safety, can be captured and considered in design cycles and throughout project developments.