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ai and autonomy in russia: Issue 31, February 7, 2022

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” that significant regulation would only slow technological development, while the market will be able to self-regulate in accordance with the 2021 AI ethics code. (See issue 25 of AI in Russia ... Issue 31 /Newsletters/Ai%20and%20Autonomy%20in%20Russia/AI-and-autonomy-in-Russia-Issue-31_Page_01.jpg Issue 31, February 7, 2022 GOVERNANCE AND LEGISLATION ATTITUDES MIXED ON REGULATION TO PROTECT RUSSIANS AGAINST AI TECHNOLOGIES In December, the upper house of Russia’s Parliament sent recommendations to the Ministry of Digital Development, Communications and Mass Media and the Ministry

AI/ML Risk Management Approach for Federal Agencies

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CNA's Performance, Architecture, Criticality, and Evolvability (PACE) concept captures key risk components throughout an application’s life cycle.

Administration, the Department of Energy, NIST, and the FDA. CNA has also led assessments for federal agencies seeking clarity on the ethics, guidance, and use cases of AI/ML-based platforms ... . CNA has contributed to the development of artificial intelligence (AI) and machine learning (ML) risk management frameworks for multiple federal agencies. Our Performance, Architecture, Criticality, and Evolvability (PACE) concept captures key risk components throughout an application’s life cycle. RISK MANAGEMENT IN AI/ML SYSTEMS AI/ML promise opportunities for innovative advancements

AI and Autonomy in Russia Issue 23

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CNA provides information and analysis of the field of civilian and military AI in Russia and how Russia is applying AI to its military capabilities. Issue 23.

, the center organized a roundtable focused on the AI ethics code at the Russian Federation Council (part of Russia’s bicameral legislature), in September. The code, which is of an advisory nature, is currently under development in the Russian government AI analytical center in collaboration with the Ministry of Economic Development. The ethics code, set to be released at a public event on October 12 ... AI and Autonomy in Russia Issue 23 AI and Autonomy in Russia Issue 23, October 8, 2021 CNA provides information and analysis of the field of civilian and military AI in Russia and how Russia

ai with ai: Xen and the Art of Motorcell Maintenance

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Andy and Dave discuss the latest in AI news, including the European Commission’s proposal for the regulation of AI. A report in Nature Medicine examines the limitations of the evaluation process for medical devices using AI that the FDA approves. Researchers at MIT translate spider webs into sounds to explore how spiders might sense their world, and they using machine learning to classify sounds by spider activities. An NIH panel releases its preliminary ethics rules on making brain-like structures such as neural organoids and neural transplants, and finds little evidence that these structures experience humanlike consciousness or pain. And Andy and Dave spend some time with xenobioticists Sam Kriegman and Doug Blackiston, who discuss the motivations and findings behind their latest generation of xenobots, synthetic living machines that they have been designing and building in their labs.

website for visualizing datasets medical AI evaluation Making music from spider webs Nontechnical summary Demo Presentation NIH-requested panel releases prelimary ethics rulings ... Andy and Dave discuss the latest in AI news, including the European Commission’s proposal for the regulation of AI. A report in Nature Medicine examines the limitations of the evaluation process for medical devices using AI that the FDA approves. Researchers at MIT translate spider webs into sounds to explore how spiders might sense their world, and they using machine learning to classify

ai and autonomy in russia: Issue 34, March 21, 2022

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federal project. Additional funding under the project is also set to be dedicated to AI ethics, AI pilot projects, and training. Separately, according to RIA, the Russian government plans to purchase ... Issue 34 /Newsletters/Ai%20and%20Autonomy%20in%20Russia/Artificial-Intelligence-and-Autonomy-in-Russia-Issue-34_Page_01.jpg Issue 34, March 21, 2022 GOVERNANCE AND LEGISLATION RUSSIAN OFFICIALS ... . This is a normal economic process.” RUSSIAN GOVERNMENT ANNOUNCES EFFORTS TO BOOST DOMESTIC SOFTWARE AND AI PRODUCTION IN RESPONSE TO SANCTIONS The Ministry of Digital Development, Communications

AI and Autonomy in Russia Issue 25

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CNA provides information and analysis of the field of civilian and military AI in Russia and how Russia is applying AI to its military capabilities. Issue 25.

International Collaboration Spotlight: Marker UGV Update The following preview shows the first item in this issue: 1. Russian government analytical center releases AI ethics code As discussed in past issues of AI in Russia, the Russian government analytical center, the industry organization AI Alliance, and the Ministry of Economic Development have been jointly preparing a draft AI ethics ... AI and Autonomy in Russia Issue 25 AI and Autonomy in Russia Issue 25, November 8, 2021 CNA provides information and analysis of the field of civilian and military AI in Russia and how Russia

ai with ai: AI with AI: Quickly Followed by DARPA’s Counter-Balrog Challenge

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Welcome to Version 2.0 of AI with AI! Dave starts off by trying to explain the weird podcast titles, and he plugs Andy’s ( @ai_ilachinski ) and his ( @crypticnarwhal ) Twitter accounts. Andy and Dave then get down to business discussing Britain’s “successful” trials of using AI (“SAPIENT”) in urban battlefield scanning to identify enemy movements; the IEEE launches an ethics certification program for autonomous and intelligent systems; the U.S. Department of Energy invests $218M in Quantum Information Science; and DARPA announces the Subterranean Challenge, for technologies to augment underground operations, and wherein Dave makes a dire prediction of Tolkien-proportions! Andy and Dave then delve greedily and deeply into a series of topics of counter-AI. They start by discussing Dedrone, which has developed a capability to detect and track swarms (of robots/drones). Researchers in Korea use an AI-enabled drone to herd flocks of birds (diverting them from designated airspace). Researchers at the University of Albany, with GE, demonstrate the ability to attack object detectors (Faster Regional Convolutional Neural Networks) using imperceptible patches on the background; and researchers at the Georgia Institute of Technology, with Intel, announce ShapeShifter, a targeted physical attack on Faster R-CNN object detectors found in “state-of-the-art” detectors (such as the current generation of self-driving vehicles). On the other side, Luca de Alfaro at the University of California, Santa Cruz, published research into creating neural networks with built-in resistance to adversarial attacks, by reducing the neural networks’ “local linearity.” After a quick touch on research from Google Research on simplifying and compacting neural networks (for resource-constrained devices) without floating-point operations or multiplications, Andy recommends a paper on Learning Causality; August Cole’s Angry Trident makes the story of the week; Interpretable Machine Learning (by Molnar) is the book of the week, along with Pattern Classification by Duda, Hart, and Stork; and Christopher Moore explores the Limits of Computation in a two-part video series.

Welcome to Version 2.0 of AI with AI! Dave starts off by trying to explain the weird podcast titles, and he plugs Andy’s ( @ai_ilachinski ) and his ( @crypticnarwhal ) Twitter accounts. Andy and Dave then get down to business discussing Britain’s “successful” trials of using AI (“SAPIENT”) in urban battlefield scanning to identify enemy movements; the IEEE launches an ethics certification ... (by Molnar) is the book of the week, along with Pattern Classification by Duda, Hart, and Stork; and Christopher Moore explores the Limits of Computation in a two-part video series. a/180 AI with AI

ai with ai: The Fake That Launched 1,000 Clips (Part 2)

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More research from Berkeley and also the University of Southern California creates a method to “protect” world leaders against deep fakes, by identifying, among other things, 17 Facial Action Units (such as subtle movements of eyebrows, cheeks, nose, etc, during speech). And research from MIT can take an audio clip and convert it to a generic human face. A report from RAND looks at Ethics in Scientific Research. Deakin University and Harvard provide a survey of deep reinforcement learning in cyber security. Another survey from Dublin University and Intel Labs looks at Generative Adversarial Networks and their taxonomy. Vishal Maini and Samer Sabri provide Machine Learning for Humans. Andy recommends Ludwig von Bertalanffy’s General System Theory from 1968. Matt Turek takes a look at the history of media forensics. The House Homeland Security Subcommittee on Intelligence and Counterterrorism holds a hearing on AI and Counterterrorism. And the Computer Vision and Pattern Recognition 2019 conference begins to post its tutorials, workshops, and its 80-page program guide.

at Ethics in Scientific Research. Deakin University and Harvard provide a survey of deep reinforcement learning in cyber security. Another survey from Dublin University and Intel Labs looks at Generative ... at the history of media forensics. The House Homeland Security Subcommittee on Intelligence and Counterterrorism holds a hearing on AI and Counterterrorism. And the Computer Vision and Pattern ... Reports of the Week Ethics in Scientific Research: An Examination of Ethical Principles and Emerging Topics (118 page) Report Surveys Paper of the Week Deep Reinforcement

ai with ai: Black Hole Watson

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Andy and Dave discuss the first image of a black hole, and its link to machine learning -- with research from Katie Bouman while she was at MIT, developing Continuous High-resolution Image Reconstruction using Patch priors (CHIRP), as a way to stitch together different sources to create a continuous whole. Next, Andy and Dave discuss research from the Sorbonne and IST Austria that tries to deduce the reward function of a recurrent neural network by assuming the neurons are agents. And research from Hopfield and Krotov examines a way to approach neural network learning in a more “plausible” biological fashion, with a more physically local method of plasticity. In reports, the European Commission releases its 41-page report on Ethics Guidelines for Trustworthy AI. Elizabeth Holm publishes a short paper in defense of the black box. A paper in IEEE Spectrum examines the actual health care products (compared to the partnerships and promises) of IBM Watson. Sean Luke publishes the second edition of The Essentials of Metaheuristics. And the video of the week is a 2016 TED Talk by Katie Bouman on the development of the software that combines the data collected by individual telescopes.

” biological fashion, with a more physically local method of plasticity. In reports, the European Commission releases its 41-page report on Ethics Guidelines for Trustworthy AI. Elizabeth Holm ... hidden units”) Report of the Week Ethics Guidelines for Trustworthy AI “Ethical washing made in Europe” – by Thomas Metzinger (Short, Nontechnical) Papers of the of the Week In defense of the black box How IBM Watson Overpromised and Underdelivered on AI Health Care Book of the Week Essentials of Metaheuristics (2 nd   Edition) Free (260 pages, Adobe pdf

Artificial Intelligence in Russia Issue 20

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This report, the twentieth in a series of biweekly updates, is part of an effort by CNA to provide timely, accurate, and relevant information and analysis of the field of civilian and military artificial intelligence (AI) in Russia and, in particular, how Russia is applying AI to its military capabilities. It relies on Russian-language open source material.

, as they will be responsible for how it is used. Aksakov also warned of the consequences of ignoring risks in the digital sphere, saying there is a need to regulate the ethics of the relationship between humans and AI ... to provide timely, accurate, and relevant information and analysis of the field of civilian and military artificial intelligence (AI) in Russia and, in particular, how Russia is applying AI to its military capabilities. It relies on Russian-language open source material. The Artificial Intelligence in Russia newsletter features a summary of recent Russian-language reports on the Russian AI