Resources

AI and LLM News Articles (2023)

Here are some recent articles about Artificial Intelligence and Large Language Models that may be of interest to the HRA community:

SUPPORTING RESEARCH

  1. ChatGPT and generative AI: 25 applications to support research (October 2023; Final installation of the Times Higher Education series looking at 100 ways to use ChatGPT in higher education, which includes assistance with grant writing and generating research ideas.)
  2. Science and the new age of AI (November 2023; Collection of articles from Nature examines “looks at how [growth of AI and its capabilities] are affecting different areas of science — and how it should respond to the challenges the tools present”.)
  3. How AI Is Shaping Scientific Discovery (November 2023; Report about a recent NASEM-hosted meeting that looked at how AI is advancing discoveries in fields like physics, neuroscience, meteorology, and more, as well as ethical considerations involved)
  4. AI model by NASA and IBM can help fight climate change (August 2023; “Open-source AI encourages more collaboration, and open science paves the way for acceleration in innovation. Both IBM and NASA have embraced that and are actively addressing key environmental challenges.”)
  5. What ChatGPT and generative AI mean for science (February 2023; paywalled)
  6. ML is useful for many things, but not for predicting scientific replicability (August 2023; “use of [machine learning] for estimating replicability cannot offer a shortcut to the hard work of building more credible scientific practices and institutions”)

GENERATIVE AI

  1. Living guidelines for generative AI — why scientists must oversee its use (October 2023; “Establish an independent scientific body to test and certify generative artificial intelligence, before the technology damages science and public trust.”; experts share ‘living guidelines’)
  2. The art of the prompt: How to get the best out of generative AI – Source (microsoft.com)
  3. Why open-source generative AI models are an ethical way forward for science (April 2023; paywalled)
  4. Generative Artificial Intelligence: Overview, Issues, and Questions for Congress (June 2023; Congressional Research Service)
  5. Large Language Models, Why They Matter, and What We Should Do About Them (April 2022; from speaker Molly Kleinman)
  6. Science & Tech Spotlight: Generative AI (June 2023; U.S. Government Accountability Office)

ETHICS AND REGULATORY

  1. Living guidelines for generative AI — why scientists must oversee its use (October 2023; “Establish an independent scientific body to test and certify generative artificial intelligence, before the technology damages science and public trust.”; experts share ‘living guidelines’)
  2. President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence (October 2023; “The Executive Order establishes new standards for AI safety and security, protects Americans’ privacy, advances equity and civil rights, stands up for consumers and workers, promotes innovation and competition….”)
  3. Generative AI poses ethical challenges for open science (November 2023; unfortunately, this is paywalled and not easy to access)
  4. How to Regulate AI? Start With the Data (June 2023; from speaker Susan Ariel Aaronson)
  5. Gates Foundation: AI can help close the global health and development equity gap; they also recently launched an AI Grand Challenge
  6. The first principles guiding our work with AI (May 2023; Gates Foundation)
  7. Creative Commons has set up an AI tag, listing their articles about AI and intersections with copyright, creativity, open science practices, and more

OPEN SCIENCE AND PUBLISHING

  1. Shaping the Future of Generative AI with Open Source and Open Science (July 2023; “[The principles of open science and open source] offer the promise of a more innovative, transparent, and equitable AI landscape”)
  2. AI and Publishing: Moving forward requires looking backward (August 2023; Generative AI is “reflecting, and sometimes amplifying” existing issues with scholarly publishing and research assessment that need addressing)
  3. How ChatGPT and other AI tools could disrupt scientific publishing (October 2023; “[M]any expect that generative AI tools will become regular assistants for writing manuscripts, peer-review reports and grant applications”; potential benefits and concerns, especially wrt equity)
  4. AI writes summaries of preprints in bioRxiv trial (November 2023; “Large language model creates synopses of papers aimed at various reading levels to help scientists sift through the literature” and “publishers and funders are starting to roll out features that allow users to ‘talk to a paper’ through a chatbot”.)
  5. Open data for AI: what now? (July 2023; “These guidelines follow up on the UNESCO Recommendation on the Ethics of Artificial Intelligence, which…includes a call for open data for AI. These guidelines will also play a crucial role in supporting the UNESCO Recommendations on Open Science”)
  6. Can AI help with the heavy lifting of research communications? (August 2023; “time saved and the input from AI tools themselves could be invested in better research communication and meeting rising demands from funders to produce accessible research outputs”.)
  7. tl;dr – AI and the acceleration of research communication (February 2022)

RESOURCES

  1. https://io.google/2023/
  2. Ebook – Tap the full potential of LLMs: How to deliver value with AI