Human-Centered Artificial Intelligence: Three Fresh Ideas
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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.211 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Human-Centered AI (HCAI) is a promising direction for designing AI systems that support human self-efficacy, promote creativity, clarify responsibility, and facilitate social participation. These human aspirations also encourage consideration of privacy, security, environmental protection, social justice, and human rights. This commentary reverses the current emphasis on algorithms and AI methods, by putting humans at the center of systems design thinking, in effect, a second Copernican Revolution. It offers three ideas: (1) a two-dimensional HCAI framework, which shows how it is possible to have both high levels of human control AND high levels of automation, (2) a shift from emulating humans to empowering people with a plea to shift language, imagery, and metaphors away from portrayals of intelligent autonomous teammates towards descriptions of powerful tool-like appliances and tele-operated devices, and (3) a three-level governance structure that describes how software engineering teams can develop more reliable systems, how managers can emphasize a safety culture across an organization, and how industry-wide certification can promote trustworthy HCAI systems. These ideas will be challenged by some, refined by others, extended to accommodate new technologies, and validated with quantitative and qualitative research. They offer a reframe -- a chance to restart design discussions for products and services -- which could bring greater benefits to individuals, families, communities, businesses, and society.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- AIS Transactions on Human-Computer Interaction
- Topic
- Ethics and Social Impacts of AI
- Field
- Social Sciences
- Canadian institutions
- —
- Funders
- University of Massachusetts AmherstQueen's UniversityYonsei UniversityWorcester Polytechnic InstituteTemple UniversityUniversity of OklahomaClaremont Graduate UniversityUniversity of South FloridaMissouri University of Science and TechnologyPennsylvania State UniversityCopenhagen Business SchoolUniversity of PittsburghUniversity of Central FloridaTexas Tech UniversityUniversity of Nevada, Las VegasBen-Gurion University of the NegevSyracuse UniversityUniversity of Pennsylvania
- Keywords
- CreativityCognitive reframingKnowledge managementEngineering ethicsCorporate governanceSociologyComputer scienceEngineeringPublic relationsPsychologyBusinessPolitical scienceSocial psychology
- Has abstract in OpenAlex
- yes