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• U.S. 10 Principles - White House Proposes 'Light-Touch Regulatory Approach' for Artificial Intelligence | Brandi Vincent - Nextgov
• How Big Tech funds the debate on AI ethics | Oscar Williams - NewStatesman and NS Tech
• Beijing publishes AI ethical standards, calls for int'l cooperation | Xinhua
• | Ivana Kottasová - CNN Business
• OECD members, including U.S., back guiding principles to make AI safer | Leigh Thomas - Reuters
• 3 Practical Solutions to Offset Automation’s Impact on Work | Moran Cerf, Ryan Burke and Scott Payne - Singularity Hub
• EU backs AI regulation while China and US favour technology | Siddharth Venkataramakrishnan - he Financial Times Limited
• Amazon joins Microsoft in calling for regulation of facial recognition tech | Saqib Shah - engadget
• The Internet needs new rules. Let’s start in these four areas. | Mark Zuckerberg
• Could tough new rules to regulate big tech backfire? | Harry de Quetteville & Matthew Field - The Telegraph
• Don’t let industry write the rules for AI | Yochai Benkler - Nature
• The Algorithmic Accountability Act of 2019: Taking the Right Steps Toward AI Success | Colin Priest - DataRobot
• Responsible AI Champions Pilot | Department of Defense Joint Artificial Intelligence Center (JAIC) ...DoD AI Principles ...Themes ...Tactics

Leading institutes and companies have published a set of ethical standards for AI research Europe is making AI rules now to avoid a new tech crisis

The Ethical Side of Data Usage | Veritone Machine learning requires data, and many companies have lots of data that is useful for many very important tasks. However there are many questions about how this data should be used, shared and applied. Additionally, companies walk a fine line with just how much they want to let customers and users know about the data they have on them. This panel will explore the ethical side of data usage from an industry perspective. For more details, visit us at http://Veritone.com Veritone is a leading provider of artificial intelligence technology and solutions. The company’s proprietary operating system, aiWARE™, orchestrates an expanding ecosystem of machine learning models to transform audio, video and other data sources into actionable intelligence. Its open architecture enables customers in the media and entertainment, legal and compliance, and government sectors to easily deploy applications that leverage the power of AI to dramatically improve operational efficiency and effectiveness.

Use of Artificial Intelligence by the U.S. and Its Adversaries After discussing the state of artificial intelligence expertise, technologies, and applications in the United States, China, and Russia, experts will evaluate the ways in which Beijing and Moscow can use AI improve their influence operations, cyberattacks, and battlefield capabilities. Speakers will also consider how the United States can counter any advantages that AI provides Russia and China in the propaganda, cyber, and military domains. Speakers include: Brian Drake, Director of Artifical Intelligence and Machine Learning, DIA Future Capabilties and Innovation Office; Elsa Kania, Adjunct Senior Fellow, Technology and National Security Program, CNAS; Dr. Margarita Konaev, Research Fellow, CSET; Colonel P.J. Maykish, USAF, Director of Analysis, National Security Commission on Artifical Intelligence; and Moderator, Charles Clancy, Chief Futurist and Senior Vice President/General Manager, MITRE

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Yi Zeng on "Brain-inspired Artificial Intelligence and Ethics of Artificial Intelligence" Yi Zeng of the Institute of Automation of the Chinese Academy of Sciences on "Brain-inspired Artificial Intelligence and Ethics of Artificial Intelligence" at a LASER/LAst Dialogues www.scaruffi.com/leonardo/sep2020.html