The Artificial Intelligence Podcast Dr. Tony Hoang

Eight daily newspapers owned by Alden Global Capital have filed a lawsuit against Open AI and Microsoft, alleging copyright infringement. The newspapers claim that the tech companies used millions of copyrighted articles without permission to train AI chatbots. The publications argue that this reduces the need for readers to subscribe, depriving the publishers of revenue. OpenAI stated that they were not aware of the concerns but are engaged in conversations with news organizations. The lawsuit is part of a broader fight over the use of data for generative AI and follows similar lawsuits by The New York Times. The case raises concerns about the impact on civic life in America.


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Artificial intelligence (AI) technology provided by Flock Safety, an Atlanta-based company, helped the Blue Springs Police Department in Missouri arrest a murder suspect. The AI-equipped camera system, similar to license plate readers, strategically placed at high-traffic intersections and popular locations, aided in identifying the suspect's vehicle based on characteristics such as make, model, and distinguishing features. Human analysts then examined the snapshots for a more precise match with a license plate. The responsible use of AI technology was crucial in assisting the investigation and led to the arrest of Marquis Earl-Lee Savannah on a warrant for first-degree murder.


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The Department of Homeland Security has established the Artificial Intelligence Safety and Security Board to protect critical infrastructure from AI-related threats. The board consists of 22 initial members, including tech industry figures such as CEOs of Open AI, Microsoft, and Alphabet. President Joe Biden ordered the creation of the board as part of an executive order on AI regulation. The board's role is to develop recommendations to prevent and prepare for disruptions caused by AI in areas such as national security and public safety. It also aims to assist critical infrastructure stakeholders in responsible AI utilization. The board includes representatives from various sectors to address the multi-faceted challenges of AI safety and security.


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Oracle is boosting its generative AI capabilities to compete in the cloud industry. The launch of its chatbot Chat GPT has driven demand for cloud services and data centers. Oracle is integrating generative AI features into its cloud infrastructure and applications, enhancing productivity and reducing costs. This strategic focus on AI positions Oracle to benefit from the AI revolution. While it has trailed competitors in cloud infrastructure market share, the AI boom provides an opportunity for Oracle to catch up. Its cloud offerings are appealing to governments concerned about data sovereignty, and the company is investing in expanding its cloud computing and AI infrastructure.


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The second global AI Safety Summit, co-hosted by Britain and South Korea, is encountering difficulties with lower turnout and complex questions. While the first summit resulted in the "Bletchley Declaration" on AI safety, consensus on regulation has proven challenging. Thorny issues, such as copyright, data scarcity, and environmental impact, are overshadowed by existential threats. OpenAI CEO Sam Altman emphasizes the need for an energy breakthrough and seeks to raise funds for computer chip production. However, experts caution against relying solely on scientific breakthroughs and financing. With a decrease in attendance, attention has shifted from existential risks to the resources necessary for AI development. Despite these challenges, the goal of the summit is to make progress in AI safety and innovation.


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A recent study published in The Lancet Digital Health reviewed the use of artificial intelligence (AI) algorithms in clinical practice through randomized controlled trials (RCTs). The study found that the use of AI in healthcare has been increasing, with some studies suggesting that AI models can perform as well as or better than clinicians. However, most of these models have not been evaluated in real-world settings, creating uncertainty about potential risks. The study identified 86 unique RCTs related to various specialties, with gastroenterology, radiology, surgery, and cardiology being the most common. The majority of trials reported significant improvements in their primary endpoints, but further research is needed to understand the true effects and limitations of AI in healthcare.


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