I was sent a copy of Ryan Abbott's "The Reasonable Robot" by the publishers. It is an interesting book that discusses a few critical areas of law as they could interact with artificial intelligence (AI). The book is worth reading, even if it is far from perfect. It is an excellent discussion point, a starting place for people to begin to think about artificial intelligence and the law. Software and law has always been an intersection that has interested me.

We've all seen the film where robots take over the world, with their mechanical bodies causing Hollywood-style screams from unsuspecting (or maybe very suspecting) victims. And, while these kinds of films let us live an alternate reality for an hour and a half, there's always that niggling thought at the backs of our minds telling us that this could actually happen in the not-too-distant future. In fact, the "father of AI", Alan Turing, was beavering away on it in the 1950s. He developed the Turing Test, which had a judge ask questions to a machine and a human. The judge would then have to decide who was the human and, if the computer could fool the judge at least half of the time, it was considered intelligent.

Artificial Intelligence (AI) can provide value to businesses in part from the customer experience it can enhance. Whether it is using big data, behaviour insights data or augmented intelligence, AI can help uncover and/or provide opportunities for an enhanced customer experience. What this means for governments and the AI value proposition is that governments must consider the impact and influence of its service on the citizen experience, and how AI improve this. It may be in customer service, information provision, processing requests for approvals, identifying opportunities for development, mapping trends that to consider when developing policy, or in considering jurisdictions from around the world that have faced similar citizen experience challenges. When we think about governments and what they provide society, we realise much of what government does is buried deep into the lives of its citizens.

We've all seen the film where robots take over the world, with their mechanical bodies causing Hollywood-style screams from unsuspecting (or maybe very suspecting) victims. And, while these kinds of films let us live an alternate reality for an hour and a half, there's always that niggling thought at the backs of our minds telling us that this could actually happen in the not-too-distant future. In fact, the "father of AI", Alan Turing, was beavering away on it in the 1950s. He developed the Turing Test, which had a judge ask questions to a machine and a human. The judge would then have to decide who was the human and, if the computer could fool the judge at least half of the time, it was considered intelligent.

The complexity of dynamics in AI techniques is already approaching that of complex adaptive systems, thus curtailing the feasibility of formal controllability and reachability analysis in the context of AI safety. It follows that the envisioned instances of Artificial General Intelligence (AGI) will also suffer from challenges of complexity. To tackle such issues, we propose the modeling of deleterious behaviors in AI and AGI as psychological disorders, thereby enabling the employment of psychopathological approaches to analysis and control of misbehaviors. Accordingly, we present a discussion on the feasibility of the psychopathological approaches to AI safety, and propose general directions for research on modeling, diagnosis, and treatment of psychological disorders in AGI.