AI, machine learning, and data science will be used to create some of the most compelling technological advancements of the next decade. The OODA team will continue to expand our reporting on AI issues.

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The Executive’s Guide To Artificial Intelligence: What you need to know about what really works and what comes next – The megatrend of Artificial Intelligence is transforming the algorithms of business in exciting ways.

OpenAI CEO Sam Altman Testifies on “Oversight of A.I.: Rules for Artificial Intelligence” – Fast on the heels of his May 4th meeting at the White House with Vice President Kamala Harris and other top administration officials to discuss responsible AI innovation, OpenAI CEO Sam Altman

NIST Makes Available the Voluntary Artificial Intelligence Risk Management Framework (AI RMF 1.0) and the AI RMF Playbook – NIST’s Artificial Intelligence Risk Management Framework (AI RMF 1.0) “The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has released its Artificial Intelligence

Using Artificial Intelligence For Competitive Advantage in Business – AI technologies are making continuous advances in domains like industrial robotics, logistics, speech recognition and translation, banking, medicine and advanced scientific research. But in almost every case, the cutting edge AI that drives the advances drops from attention, becoming almost invisible when it becomes part of the overall system.

The Future of Enterprise Artificial Intelligence – A short overview of the business aspects of AI focused on informing decisions including due diligence.

Opportunities for Advantage: Measuring Trends in Artificial Intelligence – A summary post of major trends.

AI Security: Four Things to Focus on Right Now – This is the only security framework we have seen that helps prevent AI issues before they develop

When Artificial Intelligence Goes Wrong – By studying issues we can help mitigate them

The Future of AI Policy is Largely Unwritten – Congressman Will Hurd provides insight on the emerging technologies of AI and Machine Learning.

AI Will Test American Values In The Battlefield – How will military leaders deal with AI that may treat troops as expendable assets to win the “game”.

The AI Capabilities DoD Says They Need The Most – Savvy businesses will pay attention to what this major customer wants.

What Leaders Need to Know About the State of Natural Language Processing – Major improvements in the ability of computers to understand what humans write, say and search are being fielded. These improvements are significant, and will end up changing just about every industry in the world. But at this point they are getting little notice outside a narrow segment of experts.

NATO and US DoD AI Strategies Align with over 80 International Declarations on AI Ethics – NATO’s release in October of its first-ever strategy for artificial intelligence is primarily concerned with the impact AI will have on the NATO core commitments of collective defense, crisis management, and cooperative security. Worth a deeper dive is a framework within the overall NATO AI Strategy, which mirrors that of the DoD Joint Artificial Intelligence Center’s (JAIC) efforts to establish norms around AI: “NATO establishes standards of responsible use of AI technologies, in accordance with international law and NATO’s values.” At the center of the NATO AI strategy are the following six principles: Lawfulness, Responsibility and Accountability, Explainability and Traceability, Reliability, Governability, and Bias Mitigation.”

“AI Accidents” framework from the Georgetown University CSET – The Center for Security and Emerging Technology) (CSET) in a July 2021 policy brief, “AI Accidents: An Emerging Threat – What Could Happen and What to Do,” makes a noteworthy contribution to current efforts by governmental entities, industry, AI think tanks and academia to “name and frame” the critical issues surrounding AI risk probability and impact. For the current enterprise, as we pointed out as early as 2019 in Securing AI – Four Areas to Focus on Right Now, the fact still remains that “having a robust AI security strategy is a precursor that positions the enterprise to address these critical AI issues.” In addition, enterprises which have adopted and deployed AI systems also need to commit to the systematic logging and analysis of AI-related accidents and incidents.

DHS Science and Technology Directorate (S&T) releases Artificial Intelligence (AI) and Machine Learning (ML) Strategic Plan Amidst Flurry of USG-wide AI/ML RFIs – An artificial intelligence security strategy (see “Securing AI – Four Areas to Focus on Right Now”) should be the cornerstone of any AI and machine learning (ML) efforts within your enterprise. We also recently outlined the need for enterprises to further operationalize the logging and analysis of artificial intelligence (AI) related accidents and incidents based on an “AI Accidents” framework from the Georgetown University CSET. The best analysis is a sophisticated body of work on AI-related issues of morality, ethics, fairness, explainable and interpretable AI, bias, privacy, adversarial behaviors, trust, fairness, evaluation, testing and compliance.

AI-Based Ambient Intelligence Innovation in Healthcare and the Future of Public Safety – Disaster conditions will clearly be more impactful and more frequent due to the impact of climate change. The domestic terrorism threat stateside is becoming a constant, with the impact and frequency of growing domestic U.S. political instability and public safety incidents to be determined. We will need systems that are monitoring these temporal, ephemeral ecosystems and providing insights and recommendations for real-time decision-making support and situational awareness analysis. What can AI-Based Ambient Intelligence Innovation in Healthcare teach us?

The Future of War, Information, AI Systems and Intelligence Analysis – The U.S. is in a struggle to maintain its dominance in air, land, sea, space, and cyberspace over countries with capabilities increasingly on par in all domains with that of the U.S. In addition, information (in all its forms) is the center of gravity of a broad set of challenges faced by the United States. Information, then, is the clear strategic vector of value creation for the emergence of applied technologies to enable operational innovation. For the U.S., the desired outcome is continued dominance for another American Century. For the Chinese, military capabilities usher in the dawn of a new technological superiority and, as a result, geopolitical and military dominance on the world stage.

Katharina McFarland on Winning in the Age of Artificial Intelligence – Katharina McFarland has led change in a wide array of national security domains including Space, Missile Defense, Acquisition and Nuclear Posture. She is a former Assistant Secretary of Defense