Defence lawyers in the Wisconsin murder trial of Kyle Rittenhouse said on Wednesday they would ask for a mistrial because of a dispute with prosecutors over video evidence, as the jury watched footage of his shootings at protests last year. Rittenhouse, 18, is charged with killing Joseph Rosenbaum, 36, and Anthony Huber, 26, and attempted homicide in the wounding of Gaige Grosskreutz, 28, during a chaotic night in Kenosha, Wisconsin, on August 25, 2020. The protests that night – marred by arson, rioting and looting – followed the police shooting of a Black man, Jacob Blake, who was left paralyzed from the waist down. Rittenhouse has pleaded not guilty. At issue in the trial is a drone video that shows Rosenbaum chasing Rittenhouse in the parking lot of a used-car dealership and the teenager turning and opening fire with his semi-automatic rifle as Rosenbaum gets close to him.

The embattled boss of video game company Activision Blizzard is facing a shareholder rebellion one day after employees staged a walkout to protest the company's response to sexual misconduct allegations at the firm. "In contrast to past company statements, CEO Bobby Kotick was aware of many incidents of sexual harassment, sexual assault and gender discrimination at Activision Blizzard, but failed either to ensure that the executives and managers responsible were terminated or to recognize and address the systematic nature of the company's hostile workplace culture," a group of shareholders, led by the Strategic Organizing Center (SOC) Investment Group and holding a total of 4.8m shares, wrote in a letter shared on Wednesday with the Washington Post. In addition to demanding Kotick's resignation, the shareholders called for the board's two longest-serving directors, Brian Kelly and Robert Morgado, to retire by the end of the year. The letter follows a report in the Wall Street Journal on Monday that claimed Kotick had been aware of some of the sexual misconduct behavior at the company for years. That report came on the same day that 110 employees walked out of the company's Blizzard Entertainment headquarters in Irvine, California, after Kotick had described the Journal report as misleading in a video message distributed to employees.

Dr Stephen Thaler's worldwide journey for an artificial intelligence ("AI") to be recognised as an inventor under patent law has hit another …

The People's Speech is a free-to-download 30,000-hour and growing supervised conversational English speech recognition dataset licensed for academic and commercial usage under CC-BY-SA (with a CC-BY subset). The data is collected via searching the Internet for appropriately licensed audio data with existing transcriptions. We describe our data collection methodology and release our data collection system under the Apache 2.0 license. We show that a model trained on this dataset achieves a 9.98% word error rate on Librispeech's test-clean test set. Finally, we discuss the legal and ethical issues surrounding the creation of a sizable machine learning corpora and plans for continued maintenance of the project under MLCommons's sponsorship.

Although artificial intelligence (AI) is solving real-world challenges and transforming industries, there are serious concerns about its ability to behave and make decisions in a responsible way. Many AI ethics principles and guidelines for responsible AI have been recently issued by governments, organisations, and enterprises. However, these AI ethics principles and guidelines are typically high-level and do not provide concrete guidance on how to design and develop responsible AI systems. To address this shortcoming, we first present an empirical study where we interviewed 21 scientists and engineers to understand the practitioners' perceptions on AI ethics principles and their implementation. We then propose a template that enables AI ethics principles to be operationalised in the form of concrete patterns and suggest a list of patterns using the newly created template. These patterns provide concrete, operationalised guidance that facilitate the development of responsible AI systems.

The increasing attention on Artificial Intelligence (AI) regulation has led to the definition of a set of ethical principles grouped into the Sustainable AI framework. In this article, we identify Continual Learning, an active area of AI research, as a promising approach towards the design of systems compliant with the Sustainable AI principles. While Sustainable AI outlines general desiderata for ethical applications, Continual Learning provides means to put such desiderata into practice.

An internal report on Artificial Intelligence recently approved by a special committee of the European Parliament embodies a push from EU lawmakers and member states to make regulation on artificial intelligence less burdensome and more innovation-friendly. Christian Democrat MEP Axel Voss has been leading the charge against "overburdening" companies with excessive regulation, arguing that the EU regulatory environment should leave more room for innovation. That was the underlying motive of an own-initiative report on Artificial Intelligence in a Digital Age, recently approved in the AIDA committee, a parliamentary body set up in 2020, under Voss' leadership. "We need a better regulatory framework that learns also from the mistakes of the GDPR," Voss said while presenting the report. Instead of overburdening companies, the AI Act should give clear guidance and should leave space for innovation, he added.

The laws that govern affluent clients and large institutions are numerous, intricate and applied by highly sophisticated practitioners. In this section of society, rules proliferate, lawsuits abound, and the cost of legal services grows much faster than the cost of living. For the bulk of the population, however, the situation is very different. Access to the courts may be open in principle. In practice, however, most people find their legal rights severely compromised by the cost of legal services, the baffling complications of existing rules and procedures, and the long, frustrating delays involved in bringing proceedings to a conclusion . . .

KLST is a Microsoft Gold certified partner with hands-on experience delivering Microsoft platform powered solutions. Our KLST expertise specializes in developing apps, automatic workflows, developing virtual agents, and creating business intelligence to augment your business. KLST Microsoft Power platform services mainly focus on enterprises level development and implementation of business applications.

The dominant public narrative about artificial intelligence is that we are building increasingly intelligent machines that will ultimately surpass human capabilities, steal our jobs, possibly even escape human control and kill us all. This misguided perception, not widely shared by AI researchers, runs a significant risk of delaying or derailing practical applications and influencing public policy in counterproductive ways. A more appropriate framingbetter supported by historical progress and current developmentsis that AI is simply a natural continuation of longstanding efforts to automate tasks, dating back at least to the start of the industrial revolution. Stripping the field of its gee-whiz apocalyptic gloss makes it easier to evaluate the likely benefits and pitfalls of this important technology, not to mention dampen the self-destructive cycles of hype and disappointment that have plagued the field since its inception. At the core of this problem is the tendency for respected public figures outside the field, and even a few within the field, to tolerate or sanction overblown press reports that herald each advance as startling and unexpected leaps toward general human-level intelligence (or beyond), fanning fears that "the robots" are coming to take over the world.