Artificial Intelligence, Robots, and Agriculture: Social and ethical issues. This project aims to investigate the social and ethical issues raised by the use of artificial intelligence and robotics in agriculture. By combining social science research methods and philosophical analysis, the project aims to generate new knowledge in bioethics and applied ethics. Expected outcomes of this project include an account of the social and ethical issues farmers, rural communities, and consumers anticipat ....Artificial Intelligence, Robots, and Agriculture: Social and ethical issues. This project aims to investigate the social and ethical issues raised by the use of artificial intelligence and robotics in agriculture. By combining social science research methods and philosophical analysis, the project aims to generate new knowledge in bioethics and applied ethics. Expected outcomes of this project include an account of the social and ethical issues farmers, rural communities, and consumers anticipate arising from these technologies, improved understanding of these issues, and an account of how these groups would like to see these issues addressed. This should help Australia benefit from the responsible use of artificial intelligence and robotics in agriculture.Read moreRead less
Socially Responsible Insurance in the Age of Artificial Intelligence. This project aims to discover the social costs and benefits of using Artificial Intelligence in insurance, and to design practical interventions—responsible design workshops, practical guidance, regulatory proposals, new algorithmic tools—that realise the benefits while mitigating the costs. It expects to generate new knowledge drawing on philosophy, law and sociology, working closely with practitioners at the forefront of dep ....Socially Responsible Insurance in the Age of Artificial Intelligence. This project aims to discover the social costs and benefits of using Artificial Intelligence in insurance, and to design practical interventions—responsible design workshops, practical guidance, regulatory proposals, new algorithmic tools—that realise the benefits while mitigating the costs. It expects to generate new knowledge drawing on philosophy, law and sociology, working closely with practitioners at the forefront of deploying AI in insurance. Expected outcomes include novel ethical AI-based approaches to product design, pricing and claims administration. This should benefit insurers and consumers, realising efficiency gains made possible by AI, without unacceptable costs to privacy, fairness, and the unaccountable exercise of power. Read moreRead less