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Other journalists say they are getting threats and being harassed on social media. In Israel, many journalists are covering the war while processing their own grief and shock over the surprise attacks by Hamas on Oct. 7. Expressing dissenting opinions has become even more fraught than in previous conflicts, said Anat Saragusti, a senior staff member for the 1,500-member Union of Journalists, an Israeli organization with 1,500 members. Journalists and media experts attributed the change to several factors: The attacks by Hamas have been especially traumatizing for Israelis. And the spread of misinformation, particularly on WhatsApp and social media platforms like Facebook and X, formerly known as Twitter, has intensified existing viewpoints.
Persons: , Anat Saragusti, ” Ms, Saragusti, Natan Sachs, Mr, Sachs, Benjamin Netanyahu, Netanyahu, , Tehilla Shwartz, “ It’s, Dr, Shwartz, Tal Shalev, it’s, Shalev, “ I’m Organizations: Union of Journalists, Journalists, Center for Middle East, Brookings Institution, Israel Democracy Institute Locations: Gaza, Israel, Washington
A lawyer used ChatGPT to write an affidavit in a personal injury lawsuit against an airline. However, the tool is at the heart of a case to discipline a New York lawyer. Steven Schwartz, a personal injury lawyer with Levidow, Levidow & Oberman, faces a sanctions hearing on June 8, after it was revealed that he used ChatGPT to write up an affidavit. The affidavit that used ChatGPT was for a lawsuit involving a man who alleged he was injured by a serving cart aboard an Avianca flight, and featured several made up court decisions. "Six of the submitted cases appear to be bogus judicial decisions with bogus quotes and bogus internal citations," Castel wrote.
AI experts told Insider how Googlers might write the high-quality responses for Bard to improve its model. Then they were asked to evaluate Bard's answers to ensure they were what one would expect and of a reasonable length and structure. If an answer was too humanlike, factually wrong, or otherwise didn't make sense, employees could rewrite the answer and submit it to help train Bard's model. To refine Bard, Google could implement a combination of supervised and reinforcement learning, Vered Shwartz, an assistant professor of computer science at the University of British Columbia, said. That model would look at answers Bard produced, rejecting the bad ones and validating the good ones until the chatbot understood how it should behave.
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