However, an AI system is only as good as the data being fed into it. Just like a child, if you teach a child bad behaviors, those behaviors will be carried on with them as an adult. If the information being fed to an AI system is intentionally malicious or inaccurate, the AI system will learn to behave the way the attacker wanted it to, not the way the system was designed to behave, said Steve Tcherchian, chief information security officer at XYPRO and a regular contributor to and presenter at the EC-Council, a cyber security technical certification body. In less important cases, this can be a mild annoyance. He cites the example of smart homes.

The next great leap for computing may be a bit closer with the help of joint efforts between the U.S. government, the private sector -- and hundreds of millions of dollars. And along the way, we might see a benefit for the financial services sector in the form of reduced false positives in fraud detection. The U.S. Department of Energy said this week that it will spend $625 million over the next five years to develop a dozen research centers devoted to artificial intelligence (AI) and quantum computing. Another $340 million will come from the private sector and academia, bringing Uncle Sam together with the likes of IBM, Amazon and Google to apply the highest of high tech to a variety of verticals and applications. In an interview with Karen Webster, Dr. Stefan Wörner, global leader for quantum finance and optimization at IBM, said we're getting closer to crossing the quantum-computing Rubicon from concept to real-world applications. The basic premise behind quantum computing is that it can tackle tasks with blinding speed and pinpoint accuracy that aren't possible with "regular" computers.

To tackle this issue, the Business Secretary Alok Sharma has announced £1million in funding, via the UK Space Agency (UKSA), for seven space-cleaning programmes. Astronomers are concerned that high-value craft in low-Earth orbit, such as the International Space Station (ISS), could be destroyed by a rogue piece of debris. Currently, there is no way of accurately monitoring and tracking small pieces of debris which could be hurtling towards a multi-million pound satellite. This infographic reveals which countries owns the most space debris. Working on photonic technologies to spot items in orbit and tell if they are junk or satellite.

As cyber attacks get more diverse in nature and targets, it’s essential that cyber security staff have the right visibility to determine how to solve vulnerabilities accordingly, and AI can help to come up with problems that its human colleagues can’t alone. | Artificial Intelligence and Cybersecurity

There are two reasons why. First, with machine learning in general and neural networks or deep learning in particular, there is often a trade-off between performance and explainability. The larger and more complex a model, the harder it will be to understand, even though its performance is generally better. Unfortunately, for complex situations with many interacting influences--which is true of many key areas of policy--machine learning will often be more useful the more of a black box it is. As a result, holding such systems accountable will almost always be a matter of post hoc monitoring and evaluation.

This report lists relevant questions that decision makers should ask of machine-learning practitioners before employing machine learning (ML) or artificial intelligence (AI) solutions in the area of cybersecurity. Like any tool, ML tools should be a good fit for the purpose they are intended to achieve. The questions in this report will improve decision makers' ability to select an appropriate ML tool and make it a good fit to address their cybersecurity topic of interest. In addition, the report outlines the type of information that good answers to the questions should contain.

Artificial intelligence requires carefully considered regulation to ensure technologies balance cooperation and competition for the greater good, according to expert speakers at the AI Summit 2020. As a general purpose technology, artificial intelligence (AI) can be used in a staggering array of contexts, with many advocates framing its rapid development as a cooperative endeavour for the benefit of all humanity. The United Nations, for example, launched it's AI for Good initiative in 2017, while the French and Chinese governments talk of "AI for Humanity" and "AI for the benefit of mankind" respectively – rhetoric echoed by many other governments and supra-national bodies across the world. On the other hand, these same advocates also use language and rhetoric that emphasises the competitive advantages AI could bring in the more narrow pursuit of national interest. "Just as in international politics, there's a tension between an agreed aspiration to build AI for humanity, and for the common good, and the more selfish and narrow drive to compete to have advantage," said Allan Dafoe, director of the Centre for the Governance of AI at Oxford University, speaking at the AI Summit, which took place online this week.

Dr. Celso de Melo, computer scientist with the U.S. Army Combat Capabilities Development Command's Army Research Laboratory at CCDC ARL West in Playa Vista, California, in collaboration with Dr. Kazunori Teradafrom Gifu University in Japan, recently published a paper in Scientific Reports where they show that emotion expressions can shape cooperation. Autonomous machines that act on people's behalf are poised to become pervasive in society, de Melo said; however, for these machines to succeed and be adopted, it is essential that people are able to trust and cooperate with them. "Human cooperation is paradoxical," de Melo said. "An individual is better off being a free rider, while everyone else cooperates; however, if everyone thought like that, cooperation would never happen. This research aims to understand the mechanisms that promote cooperation with a particular focus on the influence of strategy and signaling."

Drone footage captures somber video of an Oregon city impacted by the wildfires burning across the west coast. The Almeda Fire ripped through Talent, Ore., last week, leaving a surreal path of destruction in its wake as a rash of wildfires continued to plague the West Coast. Somber drone footage supplied by Reuters shows flattened homes, burned automobiles and a blanket of ash flanking lifeless, empty streets. And it shows trails of powdery red fire retardant, dropped from aircraft to try and contain the fire, littering the community. Even buildings that survived stood against a gray, smoke-filled backdrop and other devastation.

Ignorance of history is a badge of honour in Silicon Valley. "The only thing that matters is the future," self-driving-car engineer Anthony Levandowski told The New Yorker in 20181. Levandowski, formerly of Google, Uber and Google's autonomous-vehicle subsidiary Waymo (and recently sentenced to 18 months in prison for stealing trade secrets), is no outlier. The gospel of'disruptive innovation' depends on the abnegation of history2. 'Move fast and break things' was Facebook's motto. Another word for this is heedlessness. And here are a few more: negligence, foolishness and blindness.