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Home»Technology
Technology

Breaking AI Models to Enhance Their Safety

June 18, 2024No Comments2 Mins Read
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The FTC has issued a warning to AI companies to avoid making false claims about their products, citing recent actions taken against companies for violating advertising rules. Model makers are urged to clearly label sponsored content and be transparent about the information their chatbots collect. Recent cases against companies like WealthPress and Automators AI highlight the importance of adhering to advertising regulations.

In the world of big plays, chip giant Nvidia has become the world’s most valuable company with a market cap exceeding $3.3 trillion. Tesla shareholders approved Elon Musk’s $50 billion pay package, although concerns have been raised about his focus on other ventures like AI startup xAI and social media platform X. Musk’s attempts to position Tesla as an AI company with plans for humanoid robots and a robotaxi service have garnered mixed reactions from shareholders.

Ethical concerns arise as publishers push for Common Crawl to remove their articles from its databases to prevent their content from being used to train AI systems. TikTok’s use of AI avatars in advertising tools raises legal risks, as failing to disclose that the avatars are not real could violate FTC rules. Amazon’s Alexa and other chatbots like Google’s Gemini and Microsoft Bing avoid definitively answering election-related queries to avoid spreading misinformation.

In a controversial move, Victor Miller, a mayoral candidate in Cheyenne, Wyoming, introduced an AI bot named “VIC” that he claims will make decisions if he is elected. However, state officials have deemed it illegal for an AI to run for office, and OpenAI plans to take action against Miller for violating their policies on political campaigning. Autonomous driving startup Waabi secured $200 million in funding to test its robotrucks in Texas, while Sakana AI is raising $100 million at a $1 billion valuation.

Haize Labs, a startup founded by Harvard graduates, is using machine learning to stress test leading AI models and uncover issues such as misinformation, hate speech, and other violations. CEO Leonard Tang hopes that companies will use their search algorithm to address safety issues in AI models before they are launched publicly. Amazon faces challenges in catching up in the digital AI assistant race due to structural dysfunction and technological hurdles. McDonald’s halted testing of a voice-based AI system for drive-through orders after multiple errors led to misinterpreted orders and customer complaints.

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