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The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI

arXiv.org Artificial Intelligence

There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.


How Artificial Intelligence Is Changing Media & Communications

#artificialintelligence

New media can be defined as a highly interactive digital technology which allows people to interact anywhere anytime. This has evolved as a non-tangible channel for communication on the preset of growth in Information Technology. The ability to transform content to a digitized format allowed new-age media to take shape within the internet. Accessibility through hand-held devices like mobile platforms, personal computers, digital devices, and virtual computing machines has aided the growth of new-age media. The medium of new media is not just restricted to social networking platforms, blogs, online newspapers, digital games and virtual reality, but any aspect of communication that can be communicated real-time, processed, stored and delivered in formats of data instantaneously.


Researchers Take Steps Towards Autonomous AI-Powered Exoskeleton Legs

#artificialintelligence

University of Waterloo researchers are using deep learning and computer vision to develop autonomous exoskeleton legs to help users walk, climb stairs, and avoid obstacles. The ExoNet project, described in an early-access paper on "Frontiers in Robotics and AI", fits users with wearable cameras. AI software processes the camera's video stream, and is being trained to recognize surrounding features such as stairs and doorways, and then determine the best movements to take. "Our control approach wouldn't necessarily require human thought," said Brokoslaw Laschowski, Ph.D. candidate in systems design engineering and lead author on the ExoNet project. "Similar to autonomous cars that drive themselves, we're designing autonomous exoskeletons that walk for themselves."


Imposing Regulation on Advanced Algorithms

arXiv.org Artificial Intelligence

This book discusses the necessity and perhaps urgency for the regulation of algorithms on which new technologies rely; technologies that have the potential to re-shape human societies. From commerce and farming to medical care and education, it is difficult to find any aspect of our lives that will not be affected by these emerging technologies. At the same time, artificial intelligence, deep learning, machine learning, cognitive computing, blockchain, virtual reality and augmented reality, belong to the fields most likely to affect law and, in particular, administrative law. The book examines universally applicable patterns in administrative decisions and judicial rulings. First, similarities and divergence in behavior among the different cases are identified by analyzing parameters ranging from geographical location and administrative decisions to judicial reasoning and legal basis. As it turns out, in several of the cases presented, sources of general law, such as competition or labor law, are invoked as a legal basis, due to the lack of current specialized legislation. This book also investigates the role and significance of national and indeed supranational regulatory bodies for advanced algorithms and considers ENISA, an EU agency that focuses on network and information security, as an interesting candidate for a European regulator of advanced algorithms. Lastly, it discusses the involvement of representative institutions in algorithmic regulation.


Global $384 Bn Smart Manufacturing Market 2020-2025 by Enabling Technology (Condition Monitoring, Artificial Intelligence, IIoT, Digital Twin, Industrial 3D Printing)

#artificialintelligence

Increased Integration of Different Solutions to Provide Improved Performance 5.2.3.3 Rapid Industrial Growth in Emerging Economies 5.2.4 Challenges 5.2.4.1 Threats Related to Cybersecurity 5.2.4.2 Complexity in Implementation of Smart Manufacturing Technology Systems 5.2.4.3 Lack of Awareness About Benefits of Adopting Information and Enabling Technologies 5.2.4.4 Lack of Skilled Workforce 5.3 Industrial Wearable Devices Trends in Smart Manufacturing 5.3.1 By Device 5.3.1.1


China to ban "fake news" that contains artificial intelligence or deepfakes

#artificialintelligence

China's history of censoring the internet and using propaganda to give its citizens a false sense of reality is well documented. And now, Chinese regulators have announced new rules that will allow them to further dictate what citizens perceive as reality. From January 1, 2020, publishing and distributing what the regulators deem to be "fake news" created with artificial intelligence (AI), deep learning, or virtual reality (VR) will be banned. The Cyberspace Administration of China (CAC) added that content produced with AI, deep learning, or VR will need to be clearly labeled when these new rules come into effect. Failure to label such content under the new rules could be a criminal offense.


A 20-Year Community Roadmap for Artificial Intelligence Research in the US

arXiv.org Artificial Intelligence

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.