Artificial Intelligence news

The real world is anything but binary. It is fuzzy and indistinct, with lots of options and potential outcomes, full of complexity and nuance. Our societies create laws and cultural norms to provide and maintain some semblance of order, but such structures are often open to interpretation, and they shift and evolve over time. This fuzziness can be challenging for any autonomous system navigating the uncertainty of a human world—such as Alexa reacting to the wrong conversations, or self-dri

Two Boeing 737 Max planes crashed in 2018 and 2019 due to sensor failures that led to autopilot malfunctions that two human pilots were unable to overcome. Also in 2018, an Uber autonomous vehicle struck and killed a pedestrian in Arizona, even though a person in the car was supposed to be overseeing the system. These examples highlight many of the issues that arise when considering what “human control” over an autonomous system really means. The development of these autonomous tech

International discussions about autonomous weapons systems (AWS) often focus on a fundamental question: Is it legal for a machine to make the decision to take a human life? But woven into this question is another fundamental issue: Can an automated weapons system be trusted to do what it’s expected to do? If the technical challenges of developing and using AWS can’t be addressed, then the answer to both questions is likely “no.”
AI challenges are magnified when applied to

Lethal autonomous weapons systems can sound terrifying, but autonomy in weapons systems is far more nuanced and complicated than a simple debate between “good or bad” and “ethical or unethical.” In order to address the legal and ethical issues that an autonomous weapons system (AWS) can raise, it’s important to look at the many technical challenges that arise along the full spectrum of autonomy. A group of experts convened by the IEEE Standards Association is workin