Many players, many targets. Expect more of both next year.
https://www.bespacific.com/odni-intel-community-assessment-of-foreign-threats-to-2022-us-elections/
ODNI Releases Intelligence Community Assessment of Foreign Threats to the 2022 U.S. Elections
“The Office of the Director of National Intelligence (ODNI) today released the declassified Intelligence Community Assessment of Foreign Threats to the 2022 U.S. Elections [redacted] Coordinated across the Intelligence Community (IC), the assessment addresses the intentions and efforts of foreign actors to influence or interfere with the 2022 U.S. elections. Within 45 days of the 2022 U.S. elections, ODNI completed and distributed the classified version of this report pursuant to Executive Order 13848. “We share our assessment and the accompanying material to help inform the American public about foreign influence efforts, including attempts by foreign actors to induce friction and undermine confidence in the electoral process that underpins our democracy,” said Director of National Intelligence Avril Haines. “As global barriers to entry lower and accessibility rises, such influence efforts remain a continuing challenge for our country, and an informed understanding of the problem can serve as one defense.” In addition to the declassified Intelligence Community Assessment, the accompanying National Intelligence Council Memorandum, Other Countries’ Activities During the 2022 Election Cycle, provides added insights…”
Something for politicians to consider?
Readers want publishers to label AI-generated articles but trust outlets less when they do
Nieman Lab: “An overwhelming majority of readers would like news publishers to tell them when AI has shaped the news coverage they’re seeing. But, new research finds, news outlets pay a price when they disclose using generative AI. That’s the conundrum at the heart of new research from University of Minnesota’s Benjamin Toff and Oxford Internet Institute’s Felix M. Simon. Their working paper “‘Or they could just not use it?’: The paradox of AI disclosure for audience trust in news” is one of the first experiments to examine audience perceptions of AI-generated news. More than three-quarters of U.S. adults think news articles written by AI would be “a bad thing.” But, from Sports Illustrated to Gannett, it’s clear that particular ship has sailed. Asking Google for information and getting AI-generated content back isn’t the future, it’s our present-day reality. Much of the existing research on perceptions of AI in newsmaking has focused on algorithmic news recommendation, i.e. questions like how readers feel about robots choosing their headlines. Some have suggested news consumers may perceive AI-generated news as more fair and neutral owing to the “machine heuristic” in which people credit technology as operating without pesky things like human emotions or ulterior motives. For this experiment, conducted in September 2023, participants read news articles of varying political content — ranging from a piece on the release of the “Barbie” film to coverage of an investigation into Hunter Biden. For some stories, the work was clearly labeled as AI-generated. Some of the AI-labeled articles were accompanied by a list of news reports used as sources…”
Perspective. I think it loses something in translation but there are some interesting points.
Gemma Galdón, algorithm auditor: ‘Artificial intelligence is of very poor quality’
The founder of Eticas Consulting advises international organizations to help them identify and avoid bias. She distrusts the expectations of the sector: ‘To propose that a data system is going to make a leap into consciousness is a hallucination’
No comments:
Post a Comment