The goal of this Industry Connections group is to continue and proliferate the existing work of the IEEE Standards Association focused on well-being and technology building on the IEEE Std 7010™-2020
, IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being. The group is also drawing on the well-being chapter of Ethically Aligned Design
Directly mirroring and supporting IEEE’s tagline of “Advancing Technology for Humanity
“, this well-being initiative will continue the pioneering work of IEEE to provably align and prioritize the increase of human well-being and ecological sustainability by providing “AIS creators” (corporations, engineers, data scientists, academics, marketers, policy makers, educators) and end users the resources, knowledge, and tools needed to support a shift whereby AIS creators are able and willing to help safeguard and improve human well-being and ecological sustainability through their AIS creations today and into the future.
We welcome new participants from large and small corporations, academia, industry, government agencies, and any individuals that are interested in the Global Artificial Intelligence Systems (AIS) Well-being Initiative. Members would include but are not limited to:
Possible Industry Outcomes:
Proposed deliverables and outcomes from this Industry Connections activity may include documents (e.g., white papers, reports), proposals for standards and guidelines, conferences, webinars and workshops, databases, computer code, etc. The following are examples of our potential work:
- Well-being implementation resources (such as research papers, implementation guidelines, standards infographics, strategic communication, video and educational material, guides, reference documents, and designs strategies) for:
- Corporate settings (multiple industry) with a focus on technical AIS innovation by utilizing well-being metrics
- Policy makers in the public and private sectors where guidelines and standards can implement logic for AIS development that provably aligns technical innovation with metrics that will improve human well-being and environmental sustainability
- Community level implementation with guides customized toward local level institutions in government, faith-based institutions, schools, and business
- AI and machine learning practitioners who need to practically address challenges related to possible and plausible malicious and non-intentional use of AI in their applied or research work
- Organizations that aim to mitigate negative societal impact from the larger scale AIS.
- Well-being workshops (physical and/or virtual) for the beneficiaries (AIS creators, corporations, policy makers, users) based on systems thinking, value sensitive design, and multi-stakeholder collaboration frameworks that enable new forms of collective insight
- Proposal for standards focused on furthering the work of IEEE Std 7010-2020 as appropriate