Aims and scope

AI and Ethics seeks to promote informed debate and discussion of the ethical, regulatory, and policy implications that arise from the development of AI. It will focus on how AI techniques, tools, and technologies are developing, including consideration of where these developments may lead in the future. The journal will provide opportunities for academics, scientists, practitioners, policy makers, and the public to consider how AI might affect our lives in the future, and what implications, benefits, and risks might emerge. Attention will be given to the potential intentional and unintentional misuses of the research and technology presented in articles we publish. Examples of harmful consequences include weaponization, bias in face recognition systems, and discrimination and unfairness with respect to race and gender.

The journal will cover a broad range of issues relating to AI, including (but not limited to):

  • The moral ethical questions and concerns that arise from basic research and the design and use of practical applications of AI

  • The need for greater public understanding of AI, including the benefits and risks AI developments may bring

  • The need for regulatory frameworks and guidelines, including self-regulation and constraints, and controls on development and implementation of AI technologies

  • Emergent public policy and the possibility of legislative interventions linked to current and future ethical issues related to the use of AI technologies and their applications.

  • How to balance the relation between technology-law-society

Relevant subject areas impacted by AI and Ethics include (but are not limited to):

  • Agricultural Economics & Policy
  • Autonomous Weapons
  • Autonomous Vehicles
  • Bioethics
  • Cognitive Science
  • Education & Educational Research
  • Emerging Technologies
  • Engineering
  • Entertainment Industry
  • Ethical Innovation
  • Data Science
  • Design
  • Finance
  • Health and Medicine
  • Human Resources
  • Labour and Automation e.g. Workforce of the Future
  • Law
  • Legal Technology
  • Logic
  • Machine Learning and Deep Learning
  • Manufacturing and Industry