Law of the Future - The Podcast on Law & Technology with Dennis Hillemann Dennis Hillemann

Setting the Scene for AI in Policing
As we stand on the cusp of a new era, the prospect of Artificial Intelligence (AI) revolutionizing yet another facet of our lives looms large. This time, it's the realm of law enforcement and crime prevention that stands to benefit, through the advent of AI-driven predictive policing. Picture a cityscape, teeming with unpredictability and criminal activity, where law enforcement often seems to be playing an exhausting game of catch-up. Now, imagine the transformation as AI enters the scene, not unlike a superhero wielding an arsenal of deep learning tools. This is an audio version of the article. The article can be found here: https://dhillemann.medium.com/striking-a-balance-between-security-and-privacy-exploring-the-advantages-and-disadvantages-of-1d411b806b78

Picture this: A middle-aged woman, Ms. Williams, walks into a government office, armed with a sheaf of papers and a weary expression. She's been here before, tangled in the red tape of bureaucracy, dancing the slow waltz of paperwork processing. But today, instead of a stern-faced clerk behind a counter, she's greeted by a friendly voice from a machine. The machine, imbued with artificial intelligence (AI), quickly sorts through her documents, scans them, and processes her request in a matter of minutes. This isn't a futuristic movie scene; it's a real glimpse of how AI is transforming the face of government operations.

This episode is an audio version of Dennis latest Medium article that you can find here: https://dhillemann.medium.com/from-bureaucracy-to-efficiency-the-transformation-of-government-operations-with-ai-9ce396ccc8a2

The relentless pace of extinctions facing our planet demands innovative solutions. Artificial intelligence (AI), with its potential for massive data analysis and optimized decision-making, offers hope for bolstering the efforts of overstretched conservationists. But this powerful technology also poses risks if not developed and deployed responsibly. As AI increasingly augments the work of those defending endangered species, ensuring its positive contribution while mitigating potential harms will be critical.

In an era where environmental responsibility is no longer a choice but a necessity, the role of technology in championing this cause becomes unequivocally significant. As the world grapples with the challenges of climate change, resource depletion, and environmental degradation, it is incumbent on us to explore every possible avenue to mitigate these effects. One such avenue is the intersection of Green Information Technology (Green IT) and Artificial Intelligence (AI) – two powerful tools that, when combined, can drive unparalleled sustainability in the public sector. But, what does Green Transformation entail, and how can Green IT and AI act as catalysts in this journey? Let’s explore.

Read the article here: https://dhillemann.medium.com/comparing-us-algorithmic-accountability-act-and-eu-ai-act-navigating-the-future-of-ai-governance-800e49c8d060



lives, the need for effective governance and regulation becomes increasingly crucial. In recent years, both the United States and the European Union have proposed legislative frameworks aimed at addressing the challenges posed by AI technologies. The US Algorithmic Accountability Act (AAA) and the EU AI Act are two key pieces of legislation that seek to establish a regulatory landscape for AI on both sides of the Atlantic.

At the time I write this, none of it has been enacted into law yet. However, it is very possible that the EU AI Act will become effective in 2021, and the US will likely follow suit afterwards.

In this article, we will delve into the similarities and differences between these two proposals, exploring what they can teach us about the future direction of AI regulation. So, let’s dive in and see how these two giants are shaping the world of AI governance.

A recent Forbes article highlighted the disruptive impact of AI on established companies like IBM and Chegg. The article reported that IBM's AI-powered Project Debater, which can analyze and synthesize vast amounts of data to generate coherent arguments, has led to job losses within the company. Similarly, Chegg, an online education platform, has seen a decline in demand for its human tutors as AI-driven tutoring services gain popularity.

These examples demonstrate the transformative power of AI and its potential to displace human workers across various industries. While AI can undoubtedly bring about increased efficiency and productivity, it also raises pressing legal questions regarding employment rights, data protection, and intellectual property.