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Articles by Simone Stumpf
Representation Debiasing of Generated Data Involving Domain Experts
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 31 May 2024 / Approved: 3 June 2024 / Online: 3 June 2024 (07:46:41 CEST) Bhattacharya, A.; Stumpf, S.; Verbert, K. Representation Debiasing of Generated Data Involving Domain Experts. Preprints 2024, 2024060050. https://doi.org/10.20944/preprints202406.0050.v1 Bhattacharya, A.; Stumpf, S.; Verbert, K. Representation Debiasing of Generated Data Involving Domain Experts. Preprints 2024, 2024060050.
User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
[Submitted on 29 Feb 2024] Title:User Characteristics in Explainable AI: The Rabbit Hole of Personalization? Download a PDF of the paper titled User Characteristics in Explainable AI: The Rabbit Hole of Personalization?, by Robert Nimmo and 4 other authors Download PDF HTML (experimental) Abstract:As Artificial Intelligence (AI) becomes ubiquitous, the need for Explainable AI (XAI) has become critical for transparency and trust among users.
People with long-term conditions sharing personal health data via digital health technologies: A scoping review to inform design
3.2.3 Design features. We now describe the design features that seemed to positively influence TIPS, as extracted from the reviewed publications. Design features to inspire trust. Two publications [43,46] reported that features to support Mutual Disclosure enhanced trust. Users from one publication recommended that digital health technologies provide a space to share qualitative personally generated health data with peers so that they may compare and contrast personal experiences.
Gender-Inclusive HCI Research and Design: A Conceptual Review
Gender-Inclusive HCI Research and Design: A Conceptual Review Simone Stumpf, City, University of London, UK, Simone.Stumpf.1@city.ac.uk Anicia Peters, Namibia University of Science and Technology, Namibia, apeters@nust.na Shaowen Bardzell, Indiana University, USA, selu@indiana.edu Margaret Burnett, Oregon State University, USA, burnett@eecs.oregonstate.edu Daniela Busse, Oracle, USA, danielabusse@fastmail.us Jessica Cauchard, Ben Gurion University of the Negev, Israel, jcauchard@acm.org...
Sci Fi Generation - AI could help us manage natural disasters - but...
Residents are struggling with the aftermath of Hurricane Florence, a record-breaking storm that has hit the US east coast and led to at least 32 deaths, floods and damaged homes. Meanwhile, Typhoon Mangkhut has been ravaging southern China. More than three million people were evacuated. In the last few years, AI has become ever more powerful. It can diagnose diseases, book restaurants, fake presidential speeches, and even compose hit music and produce trailers for horror movies.
Robotic herding of a flock of birds using drones
Researchers made a new algorithm for enabling a single robotic unmanned aerial vehicle to herd a flock of birds away from a designated airspace. This novel approach allows a single autonomous quadrotor drone to herd an entire flock of birds away without breaking their formation.
Teaching law students creative skills could save the profession from automation
Making science for people is a series that explores how humanities, arts and social sciences expertise is applied to problems typically corralled into the science and technology space. Today’s article involves technology, but in a legal sphere. It looks at how training lawyers in the “human” capabilities of creativity, empathy, compassion and emotional intelligence could provide them with skills that aren’t at risk of automation.
Can Artificial Intelligence help find alien intelligence?
In the search for extraterrestrial intelligence (SETI), we’ve often looked for signs of intelligence, technology and communication that are similar to our own. But as astronomer and SETI trailblazer Jill Tarter points out, that approach means searching for detectable technosignatures, like radio transmissions, not searching for intelligence. Now scientists are considering whether artificial intelligence (AI) could help us search for alien intelligence in ways we haven’t even thought of yet.
Comment: How science can help us make AI less creepy and more trustworthy
Stories about racist Twitter accounts and crashing self-driving cars can make us think that artificial intelligence (AI) is a work in progress. But while these headline-grabbing mistakes reveal the frontiers of AI, versions of this technology are already invisibly embedded in many systems that we use everyday. These everyday uses include everything from fraud detection systems that monitor credit card transactions to email filters that learn not to swamp your inbox with spam.
How psychology can help us make AI less creepy and more trustworthy
Stories about racist Twitter accounts and crashing self-driving cars can make us think that artificial intelligence (AI) is a work in progress. But while these headline-grabbing mistakes reveal the frontiers of AI, versions of this technology are already invisibly embedded in many systems that we use everyday. These everyday uses include everything from fraud detection systems that monitor credit card transactions to email filters that learn not to swamp your inbox with spam.
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