Cyberpunk 2077's woes have continued long after the game launched, with all the issues that entailed. CD Projekt Red announced yesterday that we'll have to wait until the second half of March for the next big patch. The developer cited that recent ransomware hack as the major culprit -- it initially planned to launch the 1.2 patch in February. As you're probably aware, February ends this week. The news is especially frustrating for PS5 owners as the game hasn't returned to the PlayStation Store since it was pulled.

Artificial intelligence magnifies the ability to analyze personal information in ways that may intrude on privacy interests. In fact many of the most interesting data sets for AI are those with a great deal of personal information. But as more countries and regions around the world solidify increasingly stringent privacy laws, companies that use AI must take those legal protections of privacy into account when setting up their systems. To avoid legal trouble and ensure public trust, AI users must seriously consider the varying privacy laws discussed below before launching any new program.

"While this unprecedented technological evolution comes with great opportunity, it also poses significant ethical challenges for all of society, including GCHQ," the agency's director, Jeremy Fleming, said.

A business school takes a multidisciplinary approach to teaching students about the critical role of ethics in the deployment of artificial intelligence. San Francisco has a long history of discovery--from the Gold Rush to the tech revolution. The city also has a history of embracing people-centered social justice. It makes sense, then, that faculty at San Francisco State University (SFSU) would want to combine the two as we explore the implications of one of the next frontiers of discovery: artificial intelligence. I have found that business schools largely discuss AI within other topic areas such as product development or marketing.

The widespread adoption of black-box models in Artificial Intelligence has enhanced the need for explanation methods to reveal how these obscure models reach specific decisions. Retrieving explanations is fundamental to unveil possible biases and to resolve practical or ethical issues. Nowadays, the literature is full of methods with different explanations. We provide a categorization of explanation methods based on the type of explanation returned. We present the most recent and widely used explainers, and we show a visual comparison among explanations and a quantitative benchmarking.

GCHQ's director has said artificial intelligence software could have a profound impact on the way it operates, from spotting otherwise missed clues to thwart terror plots to better identifying the sources of fake news and computer viruses. Jeremy Fleming's remarks came as the spy agency prepared to publish a rare paper on Thursday defending its use of machine-learning technology to placate critics concerned about its bulk surveillance activities. "AI, like so many technologies, offers great promise for society, prosperity and security. Its impact on GCHQ is equally profound," he said. "While this unprecedented technological evolution comes with great opportunity, it also poses significant ethical challenges for all of society, including GCHQ." AI is considered controversial because it relies on computer algorithms to make decisions based on patterns found in data.

The evolution and utilization of artificial intelligence (AI) is on the rise and shows no signs of stopping in the near future. In fact, Statista reports that global revenues from enterprise applications making use of AI are expected to increase by almost $30B by 2025. With such monumental growth, it's no wonder the legal industry is getting in on the action. As luck would have it, the legal field is fertile ground for the benefits of AI technology. Time-consuming tasks that attorneys have previously expended manual resources into can now be accomplished using automation and machine-learning in less time and for less money.

Google is at it again. After firing Timnit Gebru over her research paper's'unacceptable' content, the company is now investigating Margaret Mitchell, co-leader of Google's Ethical AI team. According to Axios, Google found out Mitchell has been using automated scripts to go through her messages to find examples showing discriminatory treatment against Gebru before her account was locked. She had been allegedly documenting critical issues surrounding Gebru's firing. As per the statement provided by Google to Axios, their system detected that an account had exfiltrated thousands of files and shared them with multiple external accounts.

Bradford Newman is a litigation partner resident in Baker McKenzie's Palo Alto Office and Chair of the North America Trade Secrets Practice. According to Chambers USA, Brad is a "recognized authority on trade secrets cases" who "is valued for his tenacious, intelligent and thoughtful approach to trade secrets matters." Bradford regularly serves as lead trial counsel in cases with potential eight and nine-figure liability, and has successfully litigated (both prosecuting and defending) a broad spectrum of trade secrets cases in state and federal courts throughout the country. He routinely advises and represents the world's leading technology, banking, professional service, manufacturing and commerce companies in connection with their most significant data protection and trade secret matters. Bradford is the author of Protecting Intellectual Property in the Age of Employee Mobility: Forms and Analysis, a comprehensive treatise published by ALM that offers authoritative guidance on legal risks and practical steps companies can take to protect their IP and remedy IP theft.

Scientists from the Andalusian Research Institute in Data Science and Computational Intelligence, or DaSCI (University of Granada), together with the private company Ferrovial and the Spanish Royal Academy of Engineering, highlight the need for unified, accessible, and open data in developing projects to address many of the challenges of the UN's Sustainable Development Goals Scientists from the Andalusian Research Institute in Data Science and Computational Intelligence, or DaSCI (University of Granada), together with the private company Ferrovial and the Spanish Royal Academy of Engineering (RAI), have conducted a study to analyse how engineering and technological solutions strongly linked to artificial intelligence (AI) can positively contribute to the 17 Sustainable Development Goals (SDGs) set by the United Nations (UN). To protect the planet and ensure prosperity for all people, the UN established these 17 SDGs as part of its 2030 Agenda, which constitute a paradigm shift for companies and governments in the design of new business models and public policies based on sustainability. Governments, the private sector, and civil society all play an important role in achieving the goals. The project, entitled "Engineering as a Facilitator of SDGs: Artificial intelligence and disruptive digital technologies", began in March 2020, focusing specifically on the study of AI and digital technologies and how these might be applied to further progress toward the 17 SDGs. The research is organised into three facets that broadly correspond to (i) an introduction to AI and digital technologies, (ii) analysis of their application to the SDGs, and (iii) recommendations for action that can help develop projects and support the achievement of associated goals.