Plus AI Forces Job Cuts In Tech.
Researchers at the University of Maryland have developed an AI algorithm called RETINA that can accurately predict people’s choices by analyzing their eye movements. Using eye-tracking technology, the algorithm can analyze the raw data from each eye separately, making it more accurate and comprehensive than current methods. The algorithm has a wide range of applications, from enhancing virtual shopping experiences to fields like medicine, psychology, and design.
OpenAI has introduced a new feature in ChatGPT that allows users to bring custom AI personalities, or “GPTs,” into conversations. Users can now collaborate with different AI agents in the same chat, making teamwork among expert roles more feasible. By using the @ symbol, users can easily add relevant GPTs to incorporate various perspectives and expertise to the discussion. Previously, sharing information between GPT profiles required copying, pasting, and explaining the context. This feature represents a step towards a future where AI agents can work together as a team to tackle more complex tasks.
Mastercard has developed its own generative AI model, called Decision Intelligence Pro, to help banks detect and prevent fraudulent transactions. The model, powered by a proprietary recurrent neural network, analyzes suspicious transactions on Mastercard’s network in real time and determines their legitimacy. By assessing data from billions of transactions, the AI can identify fraud patterns and predict future types of fraud. Mastercard claims the technology can improve fraud detection rates by up to 300%. With the potential to save banks millions of dollars in assessment costs, Mastercard’s AI offers an innovative solution to combat fraud in the financial industry.
AI has been ranked as one of the top health tech hazards in 2024 by ECRI, a patient safety organization. While AI has the potential to revolutionize healthcare, concerns have been raised about its safety. Marcus Schabacker, CEO of ECRI, emphasizes the need for proper regulation and guidelines for AI to ensure patient safety. Potential biases and lack of diversity in AI algorithms are worrisome, as they can lead to incorrect or biased results. Additionally, the lack of FDA regulation for AI-powered tools raises concerns about their use in diagnosis and decision-making. Schabacker urges policymakers and the healthcare industry to prioritize safety and proper oversight in the development and implementation of AI.
As tech giants like Microsoft and Alphabet invest heavily in AI, it is becoming evident that AI is disrupting the global workforce. These companies are slowing down hiring or cutting jobs in non-AI areas to allocate more resources to AI development. For instance, Alphabet reduced its employee count by around 8,000 and plans to increase spending on AI infrastructure. Microsoft, too, laid off thousands of employees and expects higher capital expenditures for AI investments. The shift towards AI-focused jobs raises concerns not only for employees in these companies but also for the broader tech industry.
Over 50% of UK undergraduates are turning to AI programs to assist them with writing essays, while educational institutions also explore the use of AI technology in classrooms. A survey conducted by the Higher Education Policy Institute (Hepi) found that 53% of students use AI to generate content for assignments. However, only 5% admitted to directly copying and pasting AI-generated text. Both students and teachers are now advocating for open discussions on how best to use AI as a study tool, with concerns arising over inaccuracies and “hallucinations” in AI-generated content. The Education Endowment Foundation (EEF) is also launching a research project to explore the potential of AI in generating lesson plans, exams, and model answers.
Microsoft, in collaboration with the Department of Energy’s Pacific Northwest National Laboratory, has utilized AI technology to uncover a groundbreaking substance that may reduce the need for lithium in rechargeable batteries by 70%. The discovery has the potential to transform the renewable energy market and aid in combating climate change. By employing a combination of AI and supercomputers, the team was able to screen 32 million materials and narrow down the selection to 18 high-potential candidates in just 80 hours. This breakthrough could revolutionize renewable energy capabilities and have a significant impact on the electric vehicle industry.
A recent AI-generated robocall impersonating President Joe Biden highlights the potential impact of artificial intelligence on elections. While deepfakes have been a major concern, experts argue that AI is more likely to amplify existing dynamics rather than create new ones. AI tools allow political campaigns to target specific groups of voters with tailored messages, leading to increased personalization and potentially overwhelming democracies’ vulnerable election infrastructure. Additionally, advances in AI could enable more numerous and sophisticated cyberattacks, posing significant cybersecurity implications for electoral integrity. The upcoming 2024 elections worldwide will serve as a testing ground for AI’s role in shaping political landscapes.