AI Writing Tools Could Hand Scientists the 'Gift of Time'
ChatGPT might not yet give us sparkling prose. But it can free scientists up to focus on more-stimulating writing tasks.
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ChatGPT: Five Priorities for Research
Conversational AI is a game-changer for science. Here's how to respond.
Tools Such As ChatGPT Threaten Transparent Science; Here Are Our Ground Rules for Their Use
Tools Such As ChatGPT Threaten Transparent Science; Here Are Our Ground Rules for Their Use
As researchers dive into the brave new world of advanced AI chatbots, publishers need to acknowledge their legitimate uses and lay down clear guidelines to avoid abuse.
ChatGPT Listed As Author on Research Papers: Many Scientists Disapprove
ChatGPT Listed As Author on Research Papers: Many Scientists Disapprove
At least four articles credit the AI tool as a co-author, as publishers scramble to regulate its use.
ChatGPT Makes Literary Debut, It's Now a Published Author
Preceding all others, a peer-reviewed paper titled 'Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse?' was recently published by Siobhan O'Connor, Senior Lecturer at the School of Health Sciences and an Adjunct Associate Professor at Western University.
We Asked GPT-3 to Write an Academic Paper About Itself - Then We Tried to Get It Published
We Asked GPT-3 to Write an Academic Paper About Itself - Then We Tried to Get It Published
An artificially intelligent first author presents many ethical questions—and could upend the publishing process.
EU and US Set out Plan to Create Rules of the Road for Artificial Intelligence
The EU and US have set out a joint roadmap to find common ways to define and evaluate artificial intelligence (AI), though critics say they are still not going far enough to make sure AI protects democracy and human rights.
The Researchers Using AI to Analyse Peer Review
Anna Severin explains how her team used machine learning to try to assess the quality of thousands of reviewers' reports.
Evaluation of the Ethics and Governance of Artificial Intelligence Initiative
Evaluation of the Ethics and Governance of Artificial Intelligence Initiative
The evaluation of the Ethics and Governance of AI Initiative is presented in this report.
Big Tech builds AI with bad data
BigScience is a global effort to build a more transparent, accountable AI, with less of the bias that infects so many Big Tech initiatives
Moving Beyond Mimicry in Artificial Intelligence
What makes pre-trained AI models so impressive-and potentially harmful.
Google Engineer Put on Leave After Saying AI Chatbot Has Become Sentient
The engineer says the system has the perception of, and ability to express thoughts and feelings equivalent to, a human child.
To Make AI Fair, Here's What We Must Learn to Do
Developers of artificial intelligence must learn to collaborate with social scientists and the people affected by its applications.
Yes, DeepMind Crunches the Numbers - but is It Really a Magic Bullet?
Yes, DeepMind Crunches the Numbers - but is It Really a Magic Bullet?
The machine learning outfit's foray into pharmaceuticals could be very useful, but its grand claims should be taken with a pinch of salt.
Deep Fakes: The Next Digital Weapon with Worrying Implications for Nuclear Policy
Deep Fakes: The Next Digital Weapon with Worrying Implications for Nuclear Policy
The ELN's Sylvia Mishra writes that AI-generated fake videos - deep fakes - threaten to exacerbate chaos in conflict, lower nuclear thresholds and complicate nuclear weapons decision-making. The uncontrolled use and spread of this technology requires urgent attention from the nuclear policy community.
AI Needs Regulating Before It's Too Late
If by 2052 a computer could match the human brain then we need better ways to build it.
The Truth About Artificial Intelligence? It Isn't That Honest
Tests of natural language processing models show that the bigger they are, the bigger liars they are. Should we be worried?
China's Data-Driven Dream to Overhaul Health Care
Collaborations between AI researchers and China's medical workers are helping to combat diseases such as diabetes and COVID-19.
Transforming Scholarly Publishing With Blockchain Technologies and AI: An Interview with Darrell Gunter
Transforming Scholarly Publishing With Blockchain Technologies and AI: An Interview with Darrell Gunter
Today features an interview with Darrell W. Gunter, editor of the new book Transforming Scholarly Publishing With Blockchain Technologies and AI.
New WH Task Force Asking What Shared Computing, Data Could Do for AI Research | Federal News Network
Automated Detection of Poor-quality Data: Case Studies in Healthcare
The detection and removal of poor-quality data in a training set is crucial to achieve high-performing AI models. In healthcare, data can be inherently poor-quality due to uncertainty or subjectivity, but as is often the case, the requirement for data privacy restricts AI practitioners from accessing raw training data, meaning manual visual verification of private patient data is not possible. Here we describe a novel method for automated identification of poor-quality data, called Untrainable Data Cleansing. This method is shown to have numerous benefits including protection of private patient data; improvement in AI generalizability; reduction in time, cost, and data needed for training; all while offering a truer reporting of AI performance itself. Additionally, results show that Untrainable Data Cleansing could be useful as a triage tool to identify difficult clinical cases that may warrant in-depth evaluation or additional testing to support a diagnosis.
Responsible AI for Disaster Risk Management: Working Group Summary
English Analysis on World about Disaster Management, Protection and Human Rights and Flood; published on 28 Apr 2021 by GFDRR, University of Toronto and 2 other organizations
Harnessing Artificial Intelligence and Machine Learning in Biomedical Applications with the Appropriate Regulation of Data
Harnessing Artificial Intelligence and Machine Learning in Biomedical Applications with the Appropriate Regulation of Data
The risks associated with poor medical database management are ever heightened in today's global pandemic, as the world struggles with control over COVID-19.
Frosty Reception for Algorithm That Predicts Research Papers' Impact
A mathematical model designed to forecast the success of biotechnology papers has drawn criticism from researchers.
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