Organizations are rapidly deploying artificial intelligence (AI) systems to manage their workers. However, AI has been found at times to be unfair to workers. Unfairness toward workers has been associated with decreased worker effort and increased worker turnover. To avoid such problems, AI systems must be designed to support fairness and redress instances of unfairness. Despite the attention related to AI unfairness, there has not been a theoretical and systematic approach to developing a design agenda. This paper addresses the issue in three ways. First, we introduce the organizational justice theory, three different fairness types (distributive, procedural, interactional), and the frameworks for redressing instances of unfairness (retributive justice, restorative justice). Second, we review the design literature that specifically focuses on issues of AI fairness in organizations. Third, we propose a design agenda for AI fairness in organizations that applies each of the fairness types to organizational scenarios. Then, the paper concludes with implications for future research.

Cyber-attacks can occur at machine speeds that are far too fast for human-in-the-loop (or sometimes on-the-loop) decision making to be a viable option. Although human inputs are still important, a defensive Artificial Intelligence (AI) system must have considerable autonomy in these circumstances. When the AI system is model-based, its behavior responses can be aligned with risk-aware cost/benefit tradeoffs that are defined by user-supplied preferences that capture the key aspects of how human operators understand the system, the adversary and the mission. This paper describes an approach to automated cyber response that is designed along these lines. We combine a simulation of the system to be defended with an anytime online planner to solve cyber defense problems characterized as partially observable Markov decision problems (POMDPs).

A computer algorithm from Leiden University in the Netherlands has spotted eleven asteroids that could eventually hit Earth and cause'unprecedented devastation'. All were missed by NASA software thanks to their chaotic orbits, which are difficult for current techniques to predict and identify as being potentially dangerous. Each are more than 328 feet (100 metres) in diameter and will pass closer to our planet than ten times the distance between the Earth and the moon. For comparison, the Tunguska object which flattened 772 square miles of forest in Siberia had a diameter of around 164–262 feet (50–80 metres). However, these space rocks won't pose a threat in our lifetime, however -- for they will only get worryingly near to Earth between the years 2131 and 2923.

DUBAI, UNITED ARAB EMIRATES – A small instrument inside the drones that targeted the heart of Saudi Arabia's oil industry and those in the arsenal of Yemen's Houthi rebels match components recovered in downed Iranian drones in Afghanistan and Iraq, two reports say. These gyroscopes have only been found inside drones manufactured by Iran, Conflict Armament Research said in a report released on Wednesday. That follows a recently released report from the United Nations saying its experts saw a similar gyroscope from an Iranian drone obtained by the U.S. military in Afghanistan, as well as in weapons shipments seized in the Arabian Sea bound for Yemen. The discovery further ties Iran to an attack that briefly halved Saudi Arabia's oil output and saw energy prices spike by a level unseen since the 1991 Gulf War. It also ties Iran to the arming of the rebel Houthis in Yemen's long civil war.

National Oceanic and Atmospheric Administration scientists are preparing to use machine learning (ML) to more easily monitor threatened ice seal populations in Alaska between April and May. Ice flows are critical to seal life cycles but are melting due to climate change -- which has hit the Arctic and sub-Arctic regions hardest. So scientists are trying to track species' population distributions. But surveying millions of aerial photographs of sea ice a year for ice seals takes months. And the data is outdated by the time statisticians analyze it and share it with the NOAA assistant regional administrator for protected resources in Juneau, according to a Microsoft blog post.

Computers using artificial intelligence are discovering medicines, designing better golf clubs and creating video games. Patent offices around the world are grappling with the question of who -- if anyone -- owns innovations developed using AI. The answer may upend what's eligible for protection and who profits as AI transforms entire industries. "There are machines right now that are doing far more on their own than to help an engineer or a scientist or an inventor do their jobs," said Andrei Iancu, director of the U.S. Patent and Trademark Office. "We will get to a point where a court or legislature will say the human being is so disengaged, so many levels removed, that the actual human did not contribute to the inventive concept."

The European Commission has said it intends to draw up new rules to protect citizens against misuses of artificial intelligence (AI) tech. It likened the current situation to "the Wild West" and said it would focus on "high-risk" cases. But some experts are disappointed that a white paper it published did not provide more details. A leaked draft had suggested a ban on facial recognition's use in public areas would be proposed. Industry Commissioner Thierry Breton suggested the new legislation would be comparable to the General Data Protection Regulation.

Are superhuman computers set to steal our jobs, take over the world and perhaps even kill off humanity? Such fears are commonplace in contemporary culture. Witness how dystopias about super-powerful rogue forms of artificial intelligence (AI), such as Person of Interest, Black Mirror and Ex Machina, have proliferated in recent years. But while scary science fiction may be entertaining, the reality of AI is rather more prosaic – and positive. For good or ill, AI isn't going to be running the world any time soon.

Artificial intelligence is a hot topic these days. Headlines touting its use in everything from drug discovery to the integration of voice-activated virtual assistants into the workplace seem to pop up daily. Along with these headlines comes no small amount of concern that this technology is on the verge of displacing millions of workers. While fears of being replaced by a machine are understandable based on history--according to the Bureau of Labor Statistics, there are 7.5 million fewer manufacturing jobs in the US today than in 1980, and automation (along with China) is often blamed--the reality is, AI is being introduced into the workplace to augment and help existing employees do their jobs better, not replace them. The reason for this may be very straightforward: as impressive as it is (think self-driving cars or Google's DeepMind beating human Go champions) the technology just isn't capable of doing what humans can do.

Today, the Commission unveils its ideas and actions for a digital transformation that works for all, reflecting the best of Europe: open, fair, diverse, democratic and confident. It presents a European society powered by digital solutions that put people first, opens up new opportunities for businesses, and boosts the development of trustworthy technology to foster an open and democratic society and a vibrant and sustainable economy. Digital is a key enabler to fighting climate change and achieving the green transition. The European data strategy and the policy options to ensure the human-centric development of Artificial Intelligence (AI) presented today are the first steps towards achieving these goals.