Academics and researchers gathered recently to discuss the findings of a new report on algorithms and their possibilities in the judicial system. Prepared and presented by DAKSH, a research centre that works on access to justice and judicial reforms, the report has been described as a superlative introduction to the various problems that ail our courts and how the usage of algorithms and allied technologies complicates it.

In order to avoid the worst-case scenario of artificial intelligence (AI) technologies, the European Union is committed to maximizing its economic potential. A draft law from the European Commission would completely ban any use of certain artificial intelligence (AI) systems and would impose a fine of 20 million euros or 4% of income on any country that violates the ban. The final bill will be presented on April 21, 2021. European Union regulators are challenging AI companies to take on more complex tasks in order to protect consumers. It means that the EU will welcome artificial intelligence systems that improve energy efficiency, optimize production, simulate climate change, and analyze national and global data to help governments and businesses overcome problems.

Artificial intelligence should be carefully regulated as of now since the concept is still broad. What should be heavily regulated is its applications including autonomous driving, cybersecurity and the military. It's way too early to regulate a fundamental technology such as artificial intelligence. If you ask any expert as of today what should be regulated in AI, the answer would have to be, inevitably, "we don't know". While the rapid progress of the technology should be seen with a positive lens, it is important to exercise some caution and introduce laws that will help the progress of AI technology.

Artificial intelligence (AI)-based medical devices are revolutionizing healthcare across the globe.

While significant differences exist, there is more overlap than one might think. As the U.S. considers its own approach, we may see more agreement and less technological balkanization. In 2018, when the European Union's General Data Protection Regulation (GDPR) came into force, it was a relatively unique piece of legislation. The two major centers of data-driven innovation and disruption -- the United States and China -- did not have anything comparable. Fast forward to 2021, stakeholders are paying similar attention to the regulation of AI.

Artificial Intelligence (AI) has augmented human activities and unlocked opportunities for many sectors of the economy. It is used for data management and analysis, decision making, and many other aspects. As with most rapidly advancing technologies, law is often playing a catch up role so the study of how law interacts with AI is more critical now than ever before. This book provides a detailed qualitative exploration into regulatory aspects of AI in industry. Offering a unique focus on current practice and existing trends in a wide range of industries where AI plays an increasingly important role, the work contains legal and technical analysis performed by 15 researchers and practitioners from different institutions around the world to provide an overview of how AI is being used and regulated across a wide range of sectors, including aviation, energy, government, healthcare, legal, maritime, military, music, and others.

Today, artificial intelligence and machine learning tools are ubiquitous across sectors--used for everything from determining an individual's credit worthiness to enabling law enforcement surveillance--and rapidly evolving. Despite this, few nations have rules in place to oversee these systems or mitigate the harms they could cause. On April 21, the European Commission released a draft of its proposed AI regulation, the world's first legal framework addressing the risks posed by artificial intelligence. The draft regulation makes some notable strides, prohibiting the use of certain harmful AI systems and reining in harmful uses of some high-risk algorithmic systems. However, the Commission's proposed regulation displays gaps which, if not addressed, could limit its effectiveness in holding some of the biggest developers and deployers of algorithmic systems accountable.

That the regulation of Artificial intelligence is a hot topic is hardly surprising. AI is being adopted at speed, news reports frequently appear about high-profile AI decision-making, and the sheer volume of guidance and regulatory proposals for interested parties to digest can seem challenging. What can we expect in terms of future regulation? And what might compliance with "ethical" AI entail? High-level ethical AI principles were made by the OECD, EU and G20 in 2019.

That the regulation of Artificial intelligence is a hot topic is hardly surprising. AI is being adopted at speed, news reports frequently appear about high-profile AI decision-making, and the sheer volume of guidance and regulatory proposals for interested parties to digest can seem challenging. What can we expect in terms of future regulation? And what might compliance with "ethical" AI entail? High-level ethical AI principles were made by the OECD, EU and G20 in 2019.

When science fiction writer Isaac Asimov introduced the Three Laws of Robotics to the world in 1942, practical robotic applications such as industrial pneumatic arms, all-transistor calculators and even the term "artificial intelligence" itself were all still a decade or two in the future. Asimov's laws boil down to three simple maxims: protect humans; obey humans; if it doesn't violate rule one or two, protect itself. Seems simple and sensible enough, yet the limits and internal tensions of these basic laws have inspired writers to dream up a wide range of science fiction dystopias, from 2001 to Blade Runner to the Terminator. And let's not forget to add Asimov's own collection of stories, I, Robot, which features the Three Laws, to the list. For business leaders, ushering in an AI-driven global calamity isn't a top-of-mind concern, but even avoiding smaller risks can be a major challenge.