Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation «The proposed European Artificial Intelligence Act (AIA) is the first attempt to elaborate a general legal framework for AI carried out by any major global economy. As such, the AIA is likely to become a point of reference in the larger discourse on how AI systems can (and should) be regulated. In this article, we describe and discuss the two primary enforcement mechanisms proposed in the AIA: the conformity assessments that providers of high-risk AI systems are expected to conduct, and the post-market monitoring plans that providers must establish to document the performance of high-risk AI systems throughout their lifetimes. We argue that the AIA can be interpreted as a proposal to establish a Europe-wide ecosystem for conducting AI auditing, albeit in other words. Our analysis offers two main contributions.

Can artificial intelligence (AI) be used in judicial processes to reduce the pendency of cases? In response to this unstarred question in the Lok Sabha during the first part of the Budget session of Parliament, Law Minister Kiren Rijiju said that while implementing phase two of the eCourts projects, under operation since 2015, a need was felt to adopt new, cutting edge technologies of Machine Learning (ML) and Artificial Intelligence (AI) to increase the efficiency of the justice delivery system. "To explore the use of AI in judicial domain, the Supreme Court of India has constituted Artificial Intelligence Committee which has mainly identified application of AI technology in Translation of judicial documents; Legal research assistance and Process automation," Mr. Rijiju stated. Several law firms are now keen try out new technologies for a quick reference on judicial precedents and pronouncements on cases with similar legal issues at stake. Mumbai-based Riverus, a "legal tech" firm, has developed ML applications that peruse troves of cases, "understand" them, and parse cases that are similar in content -- very much like a human expert would do -- in a fraction of the time.

At first glance, you might think how it's possible for something that doesn't have a mind, body, or soul to have any legal entitlement. After all, algorithms don't have physical attributes, and their existence can't be easily tracked unless you're a tech specialist responsible for creating them. However, while algorithms don't have any physical attributes, they have become smarter over time, mimicking human behaviors and traits to produce actionable results. Initially, algorithms started as simple data sets combined in several valuable ways to create patterns. They generate suggestions and solutions that help guide you, whether you're on social media or search engines, while also providing insights within several fields, including the legal, medical, and marketing fields.

A new law in New York City that bans employers from using AI tools in hiring unless they're annually audited for bias raises many legal questions.

The family's wrongful death lawsuit, which indicates it was filed in Los Angeles Superior Court by Paul and Janet Moynihan, claims that their daughter's boss, Greg Restituito, initially lied to investigators in the Anaheim Police Department who were looking into her death in a hotel room at Disney's Grand Californian Hotel & Spa, concealing that he had a sexual relationship with Moynihan. Restituito did not immediately respond to a message seeking comment.

AI regulations form a major part of tech industries right now. In the last five years, the adoption of AI has skyrocketed as more than 25% of businesses have already or are planning to adopt AI in the future. Clearly, as technology improves and businesses realize the value of AI adoption, the trend of AI adoption will continue to grow. AI already has a myriad of applications for both consumers and businesses, and those benefits and exponentially wide-ranging. Hence, the impotence of AI regulations remains uncompromisable.

By Michael Sartori and Matthew Avery (March 2, 2022, 6:27 PM EST) -- Artificial intelligence has seeped into so many areas, and the chemical industry is no exception. The increasing number of patents being sought for AI-based chemical inventions reflects the innovations in the field. This article discusses the increase in the patenting of AI-based inventions related to the chemical industry and provides insights for the industry into how to navigate this new course. Patenting of AI-Based Chemical Inventions According to Andrew Moore at NC State University's College of Natural Resources, the chemical industry has used AI "to increase operational efficiency, reduce costs and improve customer satisfaction."[1]

The European AI Act, a proposed European law on artificial intelligence is the first law on AI by a major regulator. It lays down harmonised rules for the EU. The European Commission unveiled this new proposal for an EU regulatory framework in April 2021. "As expected, the debate around this legislation has already started. On the positive side, this regulation may become the global standard, in the same way GDPR has become. It may also make AI systems more trustworthy and offer extra protections to the public. On the other side, it may stifle innovation, add more costs and red tape, which may hinder start-ups from entering the market. We will hear more on this around the world before it becomes law, currently expected in 2023. With the rise of Industry 4.0 the approach to producing goods and services has triggered a trend in the current manufacturing industry that focuses on automation of processes and data exchange. The approach integrates the Internet of Things (IoT), cyber-enhanced systems and cloud computing and relies heavily on the timely availability of data about every aspect and stage of the production/creation process. The IoT is not something you will experience as such itself. What you will see is that more and more objects become connected. If you are manufacturing products, you will be negotiating with providers of connectivity and in the very near future with any tiny part of the artefact that you are intending to build. It becomes very important to know the origin of these artefacts. We are in the middle of a manufacturing revolution, a five-year cycle as we can see from what happened to the products itself in the supply chain. In the 2013 Introduction to the Springer book Enabling Things to Talk Prof. Dr. Michael ten Hompel, Managing Director at Fraunhofer-Institut for "Materialfluss und Logistik", describes the consequences for something as "solid" as logistics: "The logical consequence of the Internet of Things is not just a new philosophy of how we can control our production and logistics.

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Meta has big plans for the future. And they all involve extracting even more data from consumers. Last week, the company released a positioning statement emphasizing a bold, tech-driven vision for its metaverse ambitions: smarter personal assistants, a fully immersive AR/VR experience, universal language translation, self-supervised machine learning, human-like AI, etc. All of this comes with the expressed goal of providing advertisers with richer behavioral data about consumers and reassurances that Meta will accomplish all of this in an ethically sound fashion. However, Meta's route forward may contain more roadblocks than the company is anticipating.