Tag: trust
-
Reimagining trust in academia through networked transparency
Academia should move from outsourced trust via publishers to networked transparency. While traditional publishing established mechanisms like persistent identification and peer review, today’s technology enables these functions to operate openly. Version control systems document the evolution of knowledge creation, open platforms invite diverse feedback, and scholarly control of these mechanisms creates more responsive, values-aligned academic…
-
Article: CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering
Pride, D., Cancellieri, M., & Knoth, P. (2023). CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering (arXiv:2307.04683). arXiv. http://arxiv.org/abs/2307.04683 In this paper, we present CORE-GPT, a novel question answering platform that combines GPT-based language models and more than 32 million full-text open access scientific articles from CORE. We first…
-
Example of a tutorial session with ChatGPT as the tutor
I wanted to do a little experiment using ChatGPT as a tutor, after coming across a project for building a personal AI tutor (see my last weekly digest). I’ve posted the transcript of the exchange below. A few points of interest I thought worth noting: When reading through the exchange below, remember that ChatGPT only…
-
Rejected AMEE abstract (oral presentation) | Is ‘being human’ enough? Preparing for clinical practice in the age of artificial intelligence
See this brief post on my reasons for sharing rejections. Introduction Identity is central to our understanding of the health professions, and much of professionaleducation revolves around this core value. The introduction of artificially intelligent tools (AI-based systems) into clinical practice has led to resistance in the face of perceived threats to clinician autonomy (Jussupow…
-
10 recommendations for the ethical use of AI
In February the New York Times hosted the New Work Summit, a conference that explored the opportunities and risks associated with the emergence of artificial intelligence across all aspects of society. Attendees worked in groups to compile a list of recommendations for building and deploying ethical artificial intelligence, the results of which are listed below.…
-
The Future of Artificial Intelligence Depends on Trust
To open up the AI black box and facilitate trust, companies must develop AI systems that perform reliably — that is, make correct decisions — time after time. The machine-learning models on which the systems are based must also be transparent, explainable, and able to achieve repeatable results. Source: Rao, A. & Cameron, E. (2018).…
-
Separating the Art of Medicine from Artificial Intelligence
in AIWriting a radiology report is an extreme form of data compression — you are converting around 2 megabytes of data into a few bytes, in effect performing lossy compression with a huge compressive ratio. Source: Separating the Art of Medicine from Artificial Intelligence For me, there were a few useful takeaways from this article. The first is…
-
We Need Transparency in Algorithms, But Too Much Can Backfire
The students had also been asked what grade they thought they would get, and it turned out that levels of trust in those students whose actual grades hit or exceeded that estimate were unaffected by transparency. But people whose expectations were violated – students who received lower scores than they expected – trusted the algorithm…