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More federal-level action on AI regulation has taken place in Europe.

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# More federal-level action on AI regulation has taken place in Europe. In recent years, Europe has emerged as a leading force in the regulation of artificial intelligence (AI). As the adoption of AI technologies continues to grow, policymakers in Europe have recognized the need for comprehensive regulations to ensure the responsible and ethical use of AI systems. One of the key developments in AI regulation at the federal level in Europe is the introduction of the European Commission’s proposal…

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As of March 2023, there haven’t been any bills proposed in Congress that would or protect citizens. Even proposals to restrict the use of facial recognition have failed.

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# Trends Forecast: The Impact of AI Regulations on Investment Strategies As of March 2023, the landscape of AI regulations in Congress remains relatively unchanged. Despite growing concerns about the ethical and societal implications of artificial intelligence (AI), there have been no bills proposed that directly address the protection of citizens in this regard. Even proposals aimed at restricting the use of facial recognition technology, a topic of significant public interest, have failed to gain traction. The absence of comprehensive…

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Another report from McKinsey shows that believe that it’s important to know a company’s AI policy before they make a purchase.

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# The Importance of Knowing a Company’s AI Policy in Making Investment Decisions As a Trends Forecaster Investment professional, it is crucial to stay ahead of the curve and understand the factors that influence investment decisions. One significant aspect that is gaining increasing attention is a company’s AI policy. A recent report from McKinsey has shed light on the growing importance of knowing a company’s AI policy before making a purchase or investment. According to the report, a staggering 72%…

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1. Natural Language Processing Drives New Use Cases for AI

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# Natural Language Processing Drives New Use Cases for AI In recent years, advancements in natural language processing (NLP) have opened up new possibilities for artificial intelligence (AI) applications in the trading industry. NLP, a subfield of AI, focuses on the interaction between computers and human language, enabling machines to understand, interpret, and generate human-like text. For expert traders, these developments in NLP present exciting opportunities to gain a competitive edge in the market. By leveraging NLP-powered AI systems, traders…

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