Accompanying technology development in the Human Brain Project
From foresight to ethics management
Dados Bibliográficos
| ID | 9844754 |
|---|---|
| Autores | Christine Aicardi (0000-0003-1112-7720, King's College London, autor correspondente), B Tyr Fothergill (0000-0002-7896-4083, De Montfort University), Stephen Rainey (0000-0002-5540-6046, University of Oxford), B C Stahl (0000-0002-4058-4456, De Montfort University), Emma Harris (0000-0001-9275-0500, De Montfort University) |
| Ano | 2018 |
| Volume | 102 |
| Páginas | 114-124 |
| Data de publicação | 2018-09-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Futures (JOURNAL) |
| Identificadores do periódico | ISSN: 0016-3287 • E-ISSN: 1873-6378 |
| Editora | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.futures.2018.01.005 |
| OpenAlex | W2791614155 |
| Idioma | EN |
| Citações recebidas | 13 |
| Referências citadas | 15 |
This paper addresses the question of managing the existential risk potential of general Artificial Intelligence (AI), as well as the more near-term yet hazardous and disruptive implications of specialised AI, from the perspective of a particular research project that could make a significant contribution to the development of Artificial Intelligence (AI): the Human Brain Project (HBP), a ten-year Future and Emerging Technologies Flagship of the European Commission. The HBP aims to create a digital research infrastructure for brain science, cognitive neuroscience, and brain-inspired computing. This paper builds on work undertaken in the HBP’s Ethics and Society subproject (SP12). Collaborators from two activities in SP12, Foresight and Researcher Awareness on the one hand, and Ethics Management on the other, use the case of machine intelligence to illustrate key aspects of the dynamic processes through which questions of ethics and society, including existential risks, are approached in the organisational context of the HBP. The overall aim of the paper is to provide practice-based evidence, enriched by self-reflexive assessment of the approach used and its limitations, for guiding policy makers and communities who are, and will be, engaging with such questions
Context (archaeology · Engineering ethics · Existentialism · Futures studies · Knowledge management · Political science · Reflexivity · Responsible Research and Innovation · Social science · Sociology · Artificial Intelligence · Computer Science · Engineering · Ethics and Social Impacts of AI · Neuroethics, Human Enhancement, Biomedical Innovations · Space Science and Extraterrestrial Life
Artificial intelligence and African conceptions of personhood
Ethical and Social Aspects of Neurorobotics
Towards Establishing Criteria for the Ethical Analysis of Artificial Intelligence
The Societal Readiness Thinking Tool
Which Framework to Use? A Systematic Review of Ethical Frameworks for the Screening or Evaluation of Health Technology Innovations
From abstract ethics to situated practice
The Ethical Implications of Using Artificial Intelligence in Auditing
Experimentation, learning, and dialogue
Responsible and safe innovation in education
From Responsible Research and Innovation to responsibility by design
Ethics-policy advisory ecosystems
Experiments in anticipation
Working together to face humanity’s greatest threats
Preparing for the future of Artificial Intelligence
Do Artifacts Have Politics
The Structure of Scientific Revolutions
The integrated ethics and society programme of the Human Brain Project
Reflexivity and the Sociology of Science and Technology
Critical Questions for Big Data
Inaugural
The Taken-for-Granted
| Obras citantes distintas | 13 |
|---|---|
| Citações por ano | 1,63 |
| Intervalo de citações | 2018 - 2026 (9) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 13 |