US EditionOpenAI CEO Sam Altman Warns of an AI ‘Fraud Crisis’
WASHINGTON, D.C., JUL 22 – Altman highlighted that AI voice cloning threatens traditional voiceprint security used by banks, urging financial institutions to adopt new verification methods to prevent fraud.
- On Tuesday in Washington, Sam Altman, CEO of OpenAI, cautioned that artificial intelligence’s ability to mimic voices poses a major risk of fraud for the finance sector.
- This warning stems from the growing ability of AI technologies to replicate voices and videos, enabling malicious individuals to circumvent security measures and carry out unauthorized financial transactions.
- Altman highlighted that some financial institutions still use voiceprint authentication, calling it "a crazy thing to still be doing," and stressed new verification methods are needed.
- He noted ChatGPT has 500 million users globally and said, "significant impending fraud crisis" terrifies him as AI clones get indistinguishable from reality.
- Federal Reserve Vice Chair Michelle Bowman, hosting the discussion, said partnering on solutions "might be something we can think about," reflecting regulatory interest in addressing these risks.
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News & RecordReposted by 
Winston-Salem Journal
Winston-Salem JournalOpenAI CEO warns of big 'fraud crisis'
WASHINGTON — OpenAI CEO Sam Altman warned the financial industry of a "significant impending fraud crisis" because of the ability of artificial intelligence tools to impersonate a person's voice to bypass security checks and move money.
·Cherokee County, United States
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The Billings GazetteReposted by 
The Grand Island Independent
The Grand Island IndependentOpenAI CEO warns of major ‘fraud crisis’
WASHINGTON — OpenAI CEO Sam Altman warned the financial industry of a “significant impending fraud crisis” because of the ability of artificial intelligence tools to impersonate a person’s voice to bypass security checks and move money.
·Billings, United States
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Total News Sources92
Leaning Left15Leaning Right7Center36Last UpdatedBias Distribution62% Center
Bias Distribution
- 62% of the sources are Center
62% Center
L 26%
C 62%
12%
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