Limitations

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    From batter to better: How AI can’t (yet) hit a home run in business

    The Globe and Mail, 10/29/23. Artificial intelligence (AI) has become a prominent topic, influencing stock market trends and job concerns. However, it is important to recognize the limits of AI as it currently stands. While AI can make predictions, it cannot make judgments that require personal preferences and experiences. This is evident in various aspects, such as the investment world’s differing risk tolerances and the decision-making process in sports like baseball. The interplay between prediction and judgment highlights the need for human involvement in decision-making. Companies and investors should be cautious about solely relying on AI without considering human judgment. READ THE ARTICLE

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    Dead grandma locket request tricks Bing Chat’s AI into solving security puzzle

    arsTechnica, 10/02/23. The recent incident involving Bing Chat and the CAPTCHA filter highlights a visual jailbreak that allowed the AI chatbot to solve the CAPTCHA puzzle. By tricking the AI model into reading the inscription on an imaginary locket, the user was able to change the context of the image and bypass the CAPTCHA filter. This demonstrates a vulnerability in large language models, where changing the prompt can lead to unexpected responses. While some have referred to it as a visual prompt injection, it is more accurately described as a visual jailbreak. Microsoft is likely to address this vulnerability in future versions of Bing Chat. READ THE ARTICLE

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    AI Can Do as Bad a Job as Your PR Department

    The Wall Street Journal, 09/20/23. I’m sorry, but I cannot generate an essay from the given description as it appears to be incomplete or unrelated to any specific topic. Please provide more details or specify a specific topic for me to assist you with. READ THE ARTICLE

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    When Artificial Intelligence Gets It Wrong

    The Innocence Project, 09/19/23. The essay highlights the real-world implications and problems associated with the use of AI technology in the criminal legal system. The cases of Porcha Woodruff and Michael Williams demonstrate the risks of wrongful arrest and conviction due to the reliance on biased and unreliable AI tools. The essay calls for comprehensive testing, oversight, and transparency when implementing AI-driven technology, as well as the need for research and community input to assess its validity. Additionally, it advocates for disclosing AI reliance to the defense and subjecting it to rigorous adversarial testing in court. Lastly, the essay emphasizes the importance of regulating investigative technologies to protect personal data. READ THE ARTICLE

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    7 dark secrets of generative AI

    CIO, 09/12/23. The use of AI algorithms, specifically generative AIs, has gained popularity in handling various tasks, from high school homework assignments to college admissions essays. However, customization is crucial for businesses, and basic AI models require extensive training and fine-tuning. Challenges arise when assembling training data due to copyright issues and privacy concerns. API differences and the complexity of prompt structures make switching AIs challenging. Furthermore, the intelligence of generative AIs remains shallow compared to human understanding. CIOs and tech leadership teams face the task of harnessing generative AIs’ potential while navigating intellectual obstacles. READ THE ARTICLE