"What if we could build an AI travel agent that never tires, scales infinitely, and truly understands your personal preferences? Not just in a conversational way, but in a mathematically precise manner that optimizes for exactly what matters to you?"
Dr. Andrew Clark, Monitaur
June 2025 | What's new this month
New Podcast: Utility functions: Building smarter AI agents from the fundamentals, part 2
The hosts look at utility functions as the mathematical basis for making AI systems. They use the example of a travel agent that doesn’t get tired and can be increased indefinitely to meet increasing customer demand. They also discuss the difference between this structured, economic-based approach with the problems of using large language models for multi-step tasks.
With a growing share of insurance executives viewing generative artificial intelligence as a tool for streamlining and improving functions like fraud detection, Deloitte predicts that AI technologies could save the property/casualty insurance industry tens of billions of dollars in the next few years. Deloitte wrote in a report that by implementing AI-driven technologies across the claims life cycle and integrating real-time analysis from multiple modalities, P/C insurers could reduce fraudulent claims and save between $80 billion and $160 billion by 2032.
The National Association of Insurance Commissioners' (NAIC) model bulletin governing the use of artificial intelligence (AI) by insurers provides guidance on the legal and ethical use of AI within the insurance industry, stressing the principles of transparency, fairness and accountability. Since the NAIC published the model bulletin at the end of 2023, 24 states have adopted it, and other states have enacted regulations or promulgated other guidance addressing similar topics.
Nearly half of U.S. states are proposing or adopting artificial intelligence (AI) governance legislation while federal and international regulations continue to evolve, creating significant implications for cyber insurance coverage as organizations deploy AI systems, according to a risk bulletin from Gallagher. The regulatory environment for AI is becoming increasingly complex across multiple jurisdictions, the report noted.
Generative AI is increasingly affecting our society. Our health and education systems, science, public administration and industrial ecosystems are progressively adopting this technology. A new JRC study provides policy makers with insights to address its risks and opportunities.
Are entry-level jobs on the way out? For decades, entry-level roles have provided essential training grounds for newcomers to step into the world of work. From finance to journalism, junior staff have traditionally handled the ‘grunt work’ as a rite of passage as much as a development opportunity. But as AI reshapes the career ladder, these early entry points could be increasingly at risk, according to Bloomberg.
