Cornell Chronicle: ” “It pays to be brief when asking artificial intelligence tools to mine massive datasets for insights, according to Cornell researcher Immanuel Trummer. That’s why Trummer, associate professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, has developed a new computational system, called Schemonic, that cuts… Continue Reading
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Category Archives: AI
Discrimination: Considerations for Machine Learning, AI Models, and Underlying Data
American Academy of Actuaries primer on Discrimination: Considerations for Machine Learning, AI Models, and Underlying Data. This issue brief explores the topic of discrimination in machine learning algorithms and artificial intelligence (AI) algorithms, and the underlying data of these models. It will define discrimination (including distinguishing between discrimination, unfair discrimination, and unjust discrimination); present practical… Continue Reading
Global Approaches to Auditing Artificial Intelligence: A Literature Review
International Panel on The Information Environment [PIE]: “This Synthesis Report is a literature review outlining the regulatory, industry, and academic approaches to AI audits. We review 78 articles published in peer-reviewed journals and as preprints, 21 documents from industry associations and standard-setting organizations, and national policy documents and regulations from 20 countries. Based on this… Continue Reading
How to Tell If What You’re Reading Was Written By AI
Lifehacker: “This post is part of Lifehacker’s “Exposing AI” series. We’re exploring six different types of AI-generated media, and highlighting the common quirks, byproducts, and hallmarks that help you tell the difference between artificial and human-created content. From the moment ChatGPT introduced the world to generative AI in late 2022, it was apparent that, going… Continue Reading
The information wars are about to get worse, Yuval Noah Harari argues
The Economist [unpaywalled]: “Let Truth and falsehood grapple,” argued John Milton in Areopagitica, a pamphlet published in 1644 defending the freedom of the press. Such freedom would, he admitted, allow incorrect or misleading works to be published, but bad ideas would spread anyway, even without printing—so better to allow everything to be published and let… Continue Reading
New AI standards group wants to make data scraping opt-in
Ars Technica: “The first wave of major generative AI tools largely were trained on “publicly available” data—basically, anything and everything that could be scraped from the Internet. Now, sources of training data are increasingly restricting access and pushing for licensing agreements. With the hunt for additional data sources intensifying, new licensing startups have emerged to… Continue Reading
Why A.I. Isn’t Going to Make Art
The New Yorker [unpaywalled]: “…Art is notoriously hard to define, and so are the differences between good art and bad art. But let me offer a generalization: art is something that results from making a lot of choices. This might be easiest to explain if we use fiction writing as an example. When you are… Continue Reading
GPT-fabricated scientific papers on Google Scholar
GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation: “Academic journals, archives, and repositories are seeing an increasing number of questionable research papers clearly produced using generative AI. They are often created with widely available, general-purpose AI applications, most likely ChatGPT, and mimic scientific writing. Google Scholar easily locates… Continue Reading
LLRX Articles and Columns for August 2024
Artificial Intelligence and the Law – David Colarusso AI in Finance and Banking, August 30, 2024 – This semi-monthly column by Sabrina I. Pacifici highlights news, government reports, NGO/IGO papers, industry white papers, academic papers and speeches on the subject of AI’s fast paced impact on the banking and finance sectors. Six highlights from this… Continue Reading
Challenging The Myths of Generative AI
Tech Policy Press, Eryk Salvaggio – “Aside from the physical heft of data centers seen from highways and the fiber optic cables crawling into homes and offices, the digital world mostly exists in our imagination. That imagination is shaped by the people selling services that rely on that infrastructure. This has given rise to a… Continue Reading
Pete Recommends – Weekly highlights on cyber security issues, August 31, 2024
Via LLRX – Pete Recommends – Weekly highlights on cyber security issues, August 31, 2024 – Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on… Continue Reading
Gartner Predicts 30% of Gen AI Projects Will Be Abandoned After Proof of Concept By End of 2025
Analysts Explore the Business Value of Generative AI at Gartner Data & Analytics Summit, July 29-30 in Sydney – At least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value, according to… Continue Reading
