Combating Fake Information in the Era of Generative AI²
By: Stephen Marcinuk
Generative AI ruled 2022 with DALL-E, Midjourney, and ChatGPT—empowering search, Wikipedia, and content generation.
Bard, Adobe Firefly, and Bing AI revolutionized internet users' abilities, enabling quick generation of captivating images and content.
Generative AI's transformative power comes with risks: fake news, deep fakes challenge businesses and nations in 2023.
AI-driven innovation benefits content generation and problem-solving, but we must address the dangers of AI-generated misinformation.
AI-generated content poses threats: reputational damage, political manipulation. The Guardian faced fabricated articles from ChatGPT.
AI models' errors and intentional misuse are worrisome, highlighted by AP's report on generative AI's risk factors in the 2024 US election.
Generative AI risks misinformation and reputational damage when organizations uncritically rely on it for content production.
Generative AI models can confidently assert falsehoods due to outdated, incomplete, or incorrect data they were trained on.
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