Podcasts




Why Investors Don't Want to Put More Money into AI Companies

Duration: 0:22:38.820813

The speaker discusses the recent developments in the regulation of artificial intelligence (AI) in Brazil, drawing parallels to the European Union's approach. They emphasize that the risks associated with different types of AI should dictate varying levels of regulation. For instance, AI used in healthcare presents greater risks than that used in simple games, so the regulatory framework shouldn't be uniform across the board. The speaker expresses concerns about the complexity of Brazil's proposed legislation and its potential implications on local AI research and adoption. In a related context, Diogo Cortiz, a professor and researcher, joins a podcast to discuss investment in AI companies and its connection to global stock market fluctuations. He explains that the hype surrounding AI has led to significant investments from major tech companies, citing that Google alone invested over $170 million in AI training. However, recent reports from institutions like Goldman Sachs have tempered expectations about AI's impact on GDP growth, suggesting it might be less than previously thought. Despite skepticism, companies like Microsoft continue to invest heavily in AI due to its potential transformative power, indicating the ongoing evolution and rapid advancements within the AI sector. The speaker concludes by noting the ongoing development of smaller, more efficient AI models as a trend to watch.


Brazil must lead debate on regulation of artificial intelligence

Duration: 0:28:39.570396

The discussion centers on the regulation of artificial intelligence (AI) in Brazil, emphasizing the need for a collective national vision before implementing any rules. The speaker questions whether Brazil should view AI as a threat or as a valuable tool with potential benefits for education and industry. They argue against adopting a victim mentality and advocate for defining clear goals for AI in the country. Ronaldo Lemos, a technology and media expert, suggests that AI regulation should involve a multi-stakeholder approach, with input from various sectors of society. He cautions against simply replicating European models, as these are still untested and may not suit Brazil's unique context. Instead, he highlights Brazil's historic leadership in creating governance frameworks, such as the internet's civil framework, which was developed through broad societal participation. Lemos calls for an inclusive process to develop a Brazilian framework for AI, engaging educators, students, entrepreneurs, and community representatives to ensure that the regulation reflects the diverse needs and aspirations of the population. He stresses the importance of not allowing the regulation process to be dominated by legal professionals and advocates for a more comprehensive dialogue that captures the perspectives of those directly affected by AI technology.