The easy path: Finding the balance of automation in a great governance strategy
The push and pull of taking the easy way often spills over into our professional lives as we constantly pursue automation and productivity enhancements. There is a time and place for productivity enhancement and automation. But in the context of why you pursue governance in the first place, there must be a clear line of demarcation between automating business operations and automating their governance. The more our world becomes automated, the more crucial it becomes to revisit the fundamentals, assumptions, and understand what we are doing and why.
Our episode shines a light on this vital shift, equipping listeners with strategies to elevate their skills and integrate multidisciplinary knowledge. We share stories from the trenches on how each role affects robust AI solutions that adhere to ethical standards, and how embracing a T-shaped model of expertise can empower data scientists to lead the charge in industry-specific innovations.
This was a big week for AI-generated deep fakes. Sultan Meghji, who's got a new AI startup of his own, walked us through four stories that illustrate how AI will lead to more confusion about what's real and what's not.
2023 was a great year to try and learn about chat-based LLMs, but 2024 is already full of questions about why outputs seem to be stagnant. Per this article, the data, sources, and the origin matters. Understanding your use case and why LLM models solve for that case also matters. For additional perspective, we discuss the effects of data on model collapse in our episode about synthetic data.
The European Union has advanced its regulatory framework for artificial intelligence (AI), with member states voting to approve the final text of the EU’s AI Act.
Commissioner for Internal Market of the EU Thierry Breton confirmed the “endorsement of the political agreement reached in December” 2023 by all 27 member states. In a post on social media platform X, he said the AI Act is historical and a world first.
The rapid adoption of artificial intelligence (AI) technology across the economy has raised several novel legal issues. This article discusses five key issues to track in 2024.
Opinion: As AI’s presence in our lives increases, so does the number of diverse founders leveraging it to develop positive, socially impactful services and products. Because their unique life experiences inform these founders’ ingenuity, their startups often address critical social needs. When diverse founders succeed, society benefits. Yet their voices and perspectives remain largely absent from policy discussions and decisions that will shape the future of AI and its influence on our society.
