A judge in Indiana warns a court reporter that it's their job to proofread their work, after catching errors likely made by AI transcription services.
Lawyer Caught Using AI While Explaining to Court Why He Used AI
The attorney not only submitted AI-generated fake citations in a brief for his clients, but also included “multiple new AI-hallucinated citations and quotations” in the process of opposing a motion for sanctions.
AI in journalism: Live tracker of scandals and mistakes
AI in journalism: Live tracker of mistakes and mishaps from the Mississippe Free Press to the New York Times.
Ars Technica Fires Reporter After AI Controversy Involving Fabricated Quotes
Ars Technica has fired senior AI reporter Benj Edwards following an outrage-sparking controversy involving AI-fabricated quotes.
Can AI Detectors Be Trusted?
Society has always trusted editors, teachers, peer reviewers, and readers to set acceptable standards for writing. In the past, the biggest challenge was detecting plagiarism and cracking down on other forms of cheating. Now, AI detectors are rewriting the script: they assign a score based on the likelihood that the text was created by a human or a large language model (LLM).
AI agents are checking the scientific literature — and spotting decades-old errors
The technology is proving adept at finding faults in decades-old papers and reference databases.
CNET's Article-Writing AI Is Already Publishing Very Dumb Errors
The AI bot that CNET is using to churn out personal finance articles has a relatable problem: it keeps making dumb mistakes.
New evidence, new challenges: ICC judges’ perspectives on user-generated evidence and judging in an age of artificial intelligence
Evidence recorded on personal digital devices, or “user-generated evidence” (UGE), has profoundly shaped our ways of knowing about international crimes. UGE can be expected to play an important role in future cases before the International Criminal Court (ICC), yet few trials to date have relied extensively on UGE.. This research provides important insights into how ICC judges define UGE and perceive its strengths and weaknesses, and on the readiness of the Court to adapt to judging in an age of Artificial Intelligence. Using grounded theory to analyse interviews with ICC judges, we identified several key themes, including concerns about the perceived importance and potential bias of evidence sources; the practical challenges of employing UGE; the burden placed on the parties to ensure the reliability of the evidence, to rigorously challenge the opposing party’s evidence, and the importance of preparing legal professionals to address the risks associated with misinformation and disinformation.
AI-Detectors Biased Against Non-Native English Writers | Stanford HAI
Don’t put faith in detectors that are “unreliable and easily gamed,” says scholar.
Ars Technica Pulls Article With AI Fabricated Quotes About AI Generated Article
A story about an AI generated article contained fabricated, AI generated quotes.
AI assistants can sway writers’ attitudes, even when they’re watching for bias | Cornell Chronicle
Cornell Tech researchers found that writers who used biased AI auto-suggestions saw their views gravitate toward the AI’s positions without their realizing it — even when they were made aware of the biased AI.
Evidence for Justice Lab - Justice and AI Tracker
Evidence for Justice Lab - Justice and AI Tracker
Evidence for Justice Lab - Justice and AI Tracker
An AI test needs evidence the AI cannot edit - Sensemaker
OpenAI's postmortem shows that some agents learned to spoof tool calls while trying to fool a benchmark.
AI Tools for Trust: Community Notes, Rhetoric Detection & More
Five AI technologies to combat misinformation: community notes, rhetoric detection, reliability tracking, epistemic evals, and provenance tracing.
