It seems like everyone is talking about artificial intelligence at the moment, and there's good reason for that. I firmly believe that the true value of AI – estimated to be worth $13 trillion to the global economy by 2030 – will be realized due to it being accessible to businesses of all shapes and sizes, not just multinational corporations. A vast and eclectic ecosystem of cloud-based, "as-a-service" platforms reduces the need for expensive infrastructure investments and also means that niche solutions exist to help automate solutions in every industry. But whether you're simply looking to use AI-augmented marketing tools or to implement machine learning and real-time data analytics from top to bottom of your organization, there are some important points to consider first. The cost of deploying AI may have fallen dramatically in the last decade, but it still requires an investment of time and money, and going into it half-cocked – simply because it seems like everyone else is doing it, and you have a fear of missing out – can be a recipe for an expensive disaster.

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The above scenario may not be the stuff of sci-fi blockbusters, but in its own waypoints to an exciting shift in the relationship between citizens and governments. To some degree, we are already seeing this transformation taking shape--government agencies using machines to crunch data, say, or to improve citizen outreach programs. In our daily lives, meanwhile, AI makes countless decisions on our behalf-- though these are rarely more urgent than what to watch on Netflix tonight. The idea that a smart network might, without prompting, take decisive action in order to save human lives, however, is potentially a very big deal. This might be a way off, but the prospect of AI-enhanced government has led to what one observer describes as "a global race among nations," with several Gulf countries--particularly Saudi Arabia and the UAE-- very much in the running.

Important note on nomenclature: While often referred to as "AI" registers, the more appropriate term should be "Algorithmic Decision System" (ADS) registers. A register is an official record of information. In its simplest form, it can provide visibility over algorithmic systems in use, which is the most basic form of transparency. It can also be designed to enable meaningful transparency that meets stakeholder information needs. It's the latter use case that I explore throughout this article. Meaningful transparency is an important concept in AI ethics.

'… Europe is a unique aspiration. Since then questions of new technologies and European values have been at the forefront of political discussions in Brussels and member states regarding Artificial Intelligence (AI), including preparations for the forthcoming AI Act and recently adopted Digital Services Act. These discussions have not only addressed technocratic questions of economic indicators and legal instruments but also involved soul-searching and reflections on European identity: What is Europe? What does Europe stand for? And how does Europe want to project its identity and power to the rest of the world?

In God’s Ponzi, Robert Buschel builds on his storytelling skills and knowledge of law and technology to provide readers with an engaging legal drama. Buschel tells the story through the protagonist, Greg Portnoy. Driven by loyalty and revenge, Greg spins a complex web of criminal activity. He believes he is “committing these crimes for the right reasons,” and “the world will be in a better place” when he is done. From the start, Buschel sets the stage for increasingly far-fetched plots and schemes. Greg begins his story with his lifelong friend, Joseph Lars Legee. While in high school, they hacked into the bank’s computer to recover the money his father lost through a Ponzi scheme. Greg assumes the role of protector and avenger, a role he continues to play throughout the story and that drives him to lead a group of friends into a dangerous and global Ponzi scheme. Greg recognizes his need to feel important, beat others, protect people

Video games have come a long way. They have morphed from simulated games of ping pong to today's fully-immersive virtual reality games that leverage biometrics and artificial intelligence (AI). While the origins of using AI in games were simple – such as to create more realistic non-player characters – the use of AI now allows for much more. AI-based tools may be used to outsource quality assurance, gain data-driven insights into players, or to better understand player value to maximize retention and in-game revenue. Now is thus a good time for companies to keep in mind regulatory bodies' increased focus on the use of AI.

In 2023, a new law regulating AI-enabled recruiting will go live in New York City, with more legislatures to inevitably follow. This is nearly a decade after Amazon deployed its infamous AI-recruiting tool that caused harmful bias against female candidates. Emerging technologies are often left unchecked as industries take shape around them. Due to rapid innovation and sluggish regulation, first-to-market companies tend to ask for the public's forgiveness versus seeking institutional permission. Nearly 20 years after its founding, Facebook (now Meta) is still largely self-regulated.

'Innovation' is often used as a shorthand for improved technical, economic and social processes. However, any specific innovation involves the redistribution of costs and benefits, creating winners and losers. For some, regulation of technology should be avoided in case it hinders innovation, while, for others, regulation is an essential measure to mitigate risks. However, regulation and innovation are not a zero-sum game. Debates about regulatory (in)action and its impact on innovation would benefit from greater specificity about which innovation paths are considered desirable, for whom, and how policy choices would help to achieve them.

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