Artificial intelligence may threaten individual autonomy in decision-making, affecting labor rights and medical diagnoses. AI can change behaviors without knowledge, undermining agency. Interaction with biased AI can lead to discriminatory decisions. Impact assessments and regulations are required.
Self-construction benchmarks are essential to evaluate the capabilities of Large Language Models (LLM). We use agentive artificial intelligence to have LLM generate and evaluate practical exams in Finance, Business Operations, Management, Computing, and Mathematics. Although leading models achieve median scores of 65-79%, they show weaknesses in data manipulation and financial calculations. LLM-generated benchmarks can offer a cost-effective, scalable, and updatable way to measure the job capabilities of artificial intelligence.
The Gulf sovereign funds, historically financed by oil revenues, accumulate long-term savings through diversified investments. During the 2007-2008 financial crisis, they rescued the financial system, and now lead investments in artificial intelligence and energy transition, with assets growing from $2 to over $5 trillion in a decade, representing nearly 40% of global sovereign funds.
Researchers used artificial intelligence to analyze the historical impact of technology on work, identifying replaced, improved and beneficiary jobs. The study also predicts future impacts of AI on employment, generating debates on possible replacements and their political implications.
The analysis examines debt stabilization in the European Union, United Kingdom and United States, estimating significant fiscal adjustment necessary in countries such as the US, France and the UK to stabilize debt, although public debt is considered sustainable with additional fiscal efforts.
