IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence

  title={IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence},
  author={Daniel S. Schiff and Aladdin Ayesh and Laura Musikanski and John C. Havens},
  journal={2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  • D. Schiff, A. Ayesh, +1 author John C. Havens
  • Published 7 May 2020
  • Computer Science, Engineering
  • 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Artificial intelligence (AI) enabled products and services are becoming a staple of everyday life. While governments and businesses are eager to enjoy the benefits of AI innovations, the mixed impact of these autonomous and intelligent systems on human well-being has become a pressing issue. The purpose of this article is to review one of the first international standards focused on the social and ethical implications of AI: The Institute of Electrical and Electronics Engineering’s (IEEE… Expand
Enhanced well-being assessment as basis for the practical implementation of ethical and rights-based normative principles for AI
  • Marek Havrda, B. Rakova
  • Computer Science, Business
  • 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
  • 2020
This paper proposes the practical application of an enhanced well-being impact assessment framework for A/IS that could be employed to address ethical and rights-based normative principles in AI. Expand
Principles to Practices for Responsible AI: Closing the Gap
It is argued that an impact assessment framework which is broad, operationalizable, flexible, iterative, guided, and participatory is a promising approach to close the principles-to-practices gap. Expand
Aligning AI Optimization to Community Well-Being
  • J. Stray
  • Medicine, Computer Science
  • International journal of community well-being
  • 2020
This paper investigates incorporating community well-being metrics into the objectives of optimization algorithms and the teams that build them. It documents two cases where a large platform appearsExpand
Leveraging traditional ecological knowledge in ecosystem restoration projects utilizing machine learning
It is suggested that adaptive and scalable practices could incentivize interdisciplinary collaboration during all stages of ecosystemic ML restoration projects and align incentives between human and algorithmic actors. Expand
Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review
This review assesses the recent developments made in the field of post-stroke rehabilitation using wearable devices for data collection and machine learning algorithms for the exercises’ evaluation and proposes a taxonomy that divided the assessment systems into three categories namely activity recognition, movement classification, and clinical assessment emulation. Expand
An Inclusive and Sustainable Artificial Intelligence Strategy for Europe Based on Human Rights
Europe’s multicultural character and its framework of international collaboration give it a head start toward becoming a global reference in the promotion of an inclusive and sustainable AI. Expand
Ethical Guidelines and Principles in the Context of Artificial Intelligence
The interest in Artificial Intelligence (AI) based systems has been gaining momentum at a fast pace, both for software development teams and for society as a whole. This work aims to identify theExpand
Explaining the Principles to Practices Gap in AI
This work highlights the potential of AI to address global challenges and help achieve targets like the United Nation’s sustainable development goals (SDGs) and proposes new opportunities for AI to proactively contribute to social good and equity. Expand


Artificial Intelligence and Community Well-being: A Proposal for an Emerging Area of Research
We are calling for a new area of research on the nexus of community well-being and artificial intelligence (AI). Three components of this research we propose are (1) the development and use ofExpand
The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms
It is claimed that the forthcoming AI revolution is on target and that it would bring extensive changes that will also affect all aspects of the authors' society and life, and significant competitive advantages will continue to accrue to those utilizing the Internet widely and willing to take entrepreneurial risks. Expand
Ethics in artificial intelligence: introduction to the special issue
  • Virginia Dignum
  • Sociology, Computer Science
  • Ethics and Information Technology
  • 2018
The need for ethical considerations in the development of intelligent interactive systems is becoming one of the main influential areas of research in the last few years, and has led to several initiatives both from researchers as from practitioners. Expand
Future Progress in Artificial Intelligence: A Survey of Expert Opinion
What the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing are clarified are clarified. Expand
Artificial intelligence in healthcare
Recent breakthroughs in AI technologies and their biomedical applications are outlined, the challenges for further progress in medical AI systems are identified, and the economic, legal and social implications of AI in healthcare are summarized. Expand
Creation of the National Artificial Intelligence Research and Development Strategic Plan
The National Artificial Intelligence Research and Development Strategic Plan lays out a strategic plan for Federally-funded research and development in AI, and provides insight into its goals and objectives. Expand
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (A/IS) is a program of the IEEE initiated to address ethical issues raised by the development and dissemination of theseExpand
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices
The intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. Expand
Leap of FATE: human rights as a complementary framework for AI policy and practice
This tutorial discusses how human rights frameworks can inform, guide and govern AI policy and practice in a manner that is complementary to Fairness, Accountability, Transparency, and Ethics (FATE) frameworks. Expand
Positive Computing: Technology for Wellbeing and Human Potential
On the eve of Google's IPO in 2004, Larry Page and Sergey Brin vowed not to be evil. Today, a growing number of technologists would go further, trying to ensure that their work actively improvesExpand