Tuesday🌈AI Tidbits: Musk's Legal Woes, AI Content Controversies, Meta's New Safety Measures, and Harvard's Cancer Detection Breakthrough!

Happy Tuesday, tech enthusiasts! Today’s roundup of AI news is packed with intriguing developments that highlight both the promise and challenges of artificial intelligence. From Elon Musk facing legal action for allegedly using AI-generated visuals from Blade Runner at a recent robotaxi event to the New York Post and WSJ suing Bezos-backed Perplexity AI for content theft, it’s a busy day in the world of AI. Meanwhile, Meta is ramping up efforts to combat scam ads with facial recognition technology, and Harvard has unveiled an AI model that can detect cancer with a remarkable 96% accuracy. Read on for deeper insights into these exciting stories!

1. Elon Musk sued for using AI-generated Blade Runner visuals at robotaxi event

Alcon Entertainment has filed a lawsuit against Tesla, Elon Musk, and Warner Bros. Discovery, alleging unauthorized use of AI-generated imagery based on Blade Runner 2049 at Tesla’s "We, Robot" event. Alcon claims that despite denying Tesla’s request to use images from the film, the event featured stylized visuals resembling scenes from the movie. The lawsuit argues that Tesla ignored copyright rules, leveraging the imagery to promote its self-driving technology. Alcon also cited concerns over associating the film with Musk's controversial public behavior. The production company is seeking damages, accusing the parties of knowingly supporting the misuse of copyrighted content.

Elon Musk sued for using AI-generated Blade Runner imagery at robotaxi event

One of the production studios behind Blade Runner 2049 is taking Elon Musk to court for copyright infringement.

The Verge

2. NY Post & WSJ sue Bezos-backed Perplexity AI for content theft

NYP Holdings and Dow Jones have filed a lawsuit against Perplexity AI, an AI firm backed by Jeff Bezos, for allegedly using their copyrighted content without permission. The lawsuit accuses Perplexity of illegally copying articles from The New York Post and The Wall Street Journal to provide AI-generated answers, demanding the removal of these materials from its database. Perplexity, which positions itself as a search and chatbot hybrid, aims to rival Google. News Corp’s CEO, Robert Thomson, criticized the company’s practices, warning that more lawsuits may follow to protect intellectual property rights and ensure fair compensation for journalists and publishers.

NY Post, Wall Street Journal sue Jeff Bezos-backed Perplexity AI for ripping off content

NYP Holdings, Inc. and Dow Jones, subsidiaries of News Corp, jointly filed the lawsuit against Perplexity AI in Manhattan federal court on Monday.

New York PostAriel Zilber

3. Meta tests facial recognition to fight scam ads & aid account recovery

Meta is ramping up tests of facial recognition technology to combat celebrity scam ads on Facebook and Instagram. By comparing ad images with public figures' profile pictures, Meta aims to identify and block fraudulent ads, enhancing existing anti-scam measures. This initiative targets “celeb-bait” schemes that mislead users into sharing personal information or money. Meta assures that the facial data used for these checks is immediately deleted and not stored. Additionally, the company is testing video selfie verification to streamline account recovery. However, these tests are not currently conducted in the UK or EU due to strict data protection regulations.

Meta tests facial recognition for spotting ‘celeb-bait’ ads scams and easier account recovery | TechCrunch

Meta is expanding tests of facial recognition as an anti-scam measure to combat celebrity scam ads and more broadly, the Facebook owner announced Monday.

TechCrunchNatasha Lomas

4. Harvard AI model detects cancer with 96% accuracy

Researchers at Harvard Medical School have introduced CHIEF (Clinical Histopathology Imaging Evaluation Foundation), an advanced AI model that diagnoses and predicts outcomes for multiple cancer types with up to 96% accuracy. Trained on 44 terabytes of high-resolution pathology images, CHIEF outperformed existing AI systems by up to 36.1% across 19 cancer types. This specialized AI model excels in analyzing cancer cell images, enabling precise detection and prognostic predictions. CHIEF is open source, allowing researchers to test their own images. The team plans to refine the model further to enhance its capabilities in identifying rare diseases and treatment responses.

New AI Model Developed by Harvard Detects Cancer With 96% Accuracy - Decrypt

Developed by Harvard Medical School, CHIEF was trained on 44 terabytes of data, to make it extremely good at detecting tumors.

DecryptJose Antonio Lanz

As we wrap up this week’s AI news, it's clear that the landscape of artificial intelligence continues to evolve rapidly, sparking both innovation and controversy. From the legal challenges faced by industry giants like Elon Musk to groundbreaking advancements in healthcare with Harvard’s AI model, these stories remind us of the immense potential—and pitfalls—of AI technology. As Meta takes proactive steps to enhance user safety and address scams, we can anticipate further developments in AI’s role in our daily lives. Stay tuned for more updates as we navigate this dynamic field together. Until next time, keep exploring the fascinating world of AI!

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