A5025585747- Ethics and Social Impacts of AI
- BRCA gene mutations in cancer
- Ethics and Legal Issues in Pediatric Healthcare
- Neuroethics, Human Enhancement, Biomedical Innovations
- Artificial Intelligence in Healthcare and Education
- Soft Robotics and Applications
- Adversarial Robustness in Machine Learning
- Autism Spectrum Disorder Research
- Biomedical Ethics and Regulation
- Safety Systems Engineering in Autonomy
- Digital Mental Health Interventions
- Child Welfare and Adoption
- Sustainability and Climate Change Governance
- Law, AI, and Intellectual Property
- Genetics and Neurodevelopmental Disorders
- Innovative Approaches in Technology and Social Development
- Blockchain Technology Applications and Security
- Adolescent and Pediatric Healthcare
- Child and Adolescent Psychosocial and Emotional Development
- Healthcare Technology and Patient Monitoring
- Anomaly Detection Techniques and Applications
- Children's Rights and Participation
- Risk and Safety Analysis
- Advanced Manufacturing and Logistics Optimization
- Mental Health Treatment and Access
University of Bristol
2021-2024
Google (United Kingdom)
2024
DeepMind (United Kingdom)
2024
Bristol Robotics Laboratory
2023
University of York
2023
MRC Weatherall Institute of Molecular Medicine
2021-2022
University of Oxford
2017-2022
Wellcome Centre for Ethics and Humanities
2019
Warneford Hospital
2017-2018
Over the last decade, there has been an explosion of digital interventions that aim to either supplement or replace face-to-face mental health services. More recently, a number automated conversational agents have also made available, which respond users in ways mirror real-life interaction. What are social and ethical concerns arise from these advances? In this article, we discuss, young person’s perspective, strengths limitations using chatbots support. We outline what consider be minimum...
Abstract Context The 1989 UN Convention on the Rights of Child states that children have right to be heard in all matters affecting them. inspired a surge research investigates young people's perspectives health and wellness‐related concerns involves as ‘co‐researchers'. Young advisory groups (YPAGs) are widely used method enable involvement stages, but there is lack academic literature guide researchers how set up, run evaluate impact such groups. Objective In this paper, we provide...
This paper focuses on the opportunities and ethical societal risks posed by advanced AI assistants. We define assistants as artificial agents with natural language interfaces, whose function is to plan execute sequences of actions behalf a user, across one or more domains, in line user's expectations. The starts considering technology itself, providing an overview assistants, their technical foundations potential range applications. It then explores questions around value alignment,...
Generative AI systems produce a range of risks. To ensure the safety generative systems, these risks must be evaluated. In this paper, we make two main contributions toward establishing such evaluations. First, propose three-layered framework that takes structured, sociotechnical approach to evaluating This encompasses capability evaluations, which are current evaluation. It then reaches further by building on system principles, particularly insight context determines whether given may cause...
Much has been written about the need for trustworthy artificial intelligence (AI), but underlying meaning of trust and trustworthiness can vary or be used in confusing ways. It is not always clear whether individuals are speaking a technology's trustworthiness, developer's simply gaining users by any means. In sociotechnical circles, often as proxy 'the good', illustrating moral heights to which technologies developers ought aspire, at times with multitude diverse requirements; other times,...
As AI assistants become increasingly sophisticated and deeply integrated into our lives, questions of trust rise to the forefront. In this paper, we build on philosophical studies investigate when user in is justified. By moving beyond a focus technical artefact isolation, consider broader societal system which are developed deployed. We conceptualise as encompassing two main targets, namely their developers. argue that – more human like exhibit increased agency discerning justified requires...
The development of increasingly agentic and human-like AI assistants, capable performing a wide range tasks on user's behalf over time, has sparked heightened interest in the nature bounds human interactions with AI. Such systems may indeed ground transition from task-oriented AI, at discrete time intervals, to ongoing relationships -- where users develop deeper sense connection attachment technology. This paper investigates what it means for between advanced assistants be appropriate...
Generative AI systems produce a range of ethical and social risks. Evaluation these risks is critical step on the path to ensuring safety systems. However, evaluation requires availability validated established measurement approaches tools. In this paper, we provide an empirical review methods tools that are available for evaluating known generative date. To end, more than 200 safety-related evaluations have been applied We categorise each along multiple axes create detailed snapshot...
The development of adaptive autonomous systems with evolving functionality (AASEFs) differs from their technological predecessors due to changing, rather than static, architectures and processes; subsequently, development, deployment, implementation creates novel ethical issues.
Recent generative AI systems have demonstrated more advanced persuasive capabilities and are increasingly permeating areas of life where they can influence decision-making. Generative presents a new risk profile persuasion due the opportunity for reciprocal exchange prolonged interactions. This has led to growing concerns about harms from how be mitigated, highlighting need systematic study persuasion. The current definitions unclear related insufficiently studied. Existing harm mitigation...
The development of highly-capable conversational agents, underwritten by large language models, has the potential to shape user interaction with this technology in profound ways, particularly when is anthropomorphic, or appears human-like. Although effects anthropomorphic AI are often benign, design features also create new kinds risk. For example, users may form emotional connections human-like AI, creating risk infringing on privacy and autonomy through over-reliance. To better understand...
Predictive genetic testing for susceptibility to psychiatric conditions is likely become part of standard practice. Because the onset most diseases in late adolescence or early adulthood, minors could lead identification that may prevent delay development these disorders. However, due their complex aetiology, does not provide immediate medical benefits current guidelines require minors. While several authors have argued non-medical play a crucial role favour predictive other conditions,...
The ethical sourcing and disposal of materials has become ubiquitous necessary across society. However, this trend towards increased sustainability yet to find parallels in robotics research. Within the field soft robotics, large quantities silicones, rubbers other elastomers are used construct various bodies actuators. As grows, will have a negative impact on environment. In work we propose effective recycling elastomeric materials, thereby reducing amount new material needed, lowering...
Soft robotics is an emerging technology in which engineers create flexible devices for use a variety of applications. In order to advance the wide adoption soft robots, ensuring their trustworthiness essential; if robots are not trusted, they will be used full potential. demonstrate trustworthiness, specification needs formulated define what trustworthy. However, even robotic grippers, one most mature areas robotics, community has so far given very little attention formulating...
The behaviours of a swarm are not explicitly engineered. Instead, they an emergent consequence the interactions individual agents with each other and their environment. This functionality poses challenge to safety assurance. main contribution this paper is process for assurance behaviour in autonomous robotic swarms called AERoS, following guidance on Assurance Machine Learning use Autonomous Systems (AMLAS). We explore our proposed using case study centred robot operating public cloakroom.
Soft robotics is an emerging technology in which engineers create flexible devices for use a variety of applications. In order to advance the wide adoption soft robots, ensuring their trustworthiness essential; if robots are not trusted, they will be used full potential. demonstrate trustworthiness, specification needs formulated define what trustworthy. However, even robotic grippers, one most mature areas robotics, community has so far given very little attention formulating...
Parental Responsibility in the Context of Neuroscience and Genetics, by Kristien Hens, Daniela Cutas, Dorothee Horstkötter. Cham, Switzerland: Springer International Publishing; 2017. 246 pp. - Volume 26 Issue 4