Use data science to help us protect what we hold dear: Sofie Berns DID it. Leading the charge as Head of the DataLab at Ministerie van Defensie, Sofie Berns is reshaping the landscape of data-driven strategies. Her expertise and passion for data analysis are driving innovation and efficiency within Defense operations. With an eye for detail and a strategic mindset, Sofie paves the way for groundbreaking solutions in defense technology. Sofie shares her vision on the future of data-driven strategies in track Technology & AI. Don’t miss out and get your ticket now via: https://lnkd.in/g64w3Zyw #dutchinnovation #dutchinnovationdays #did24 #data #datadriven #defense
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Schuyler Moore, CENTCOM's Chief Technology Officer, has verified that United States forces operating in the Middle East have begun employing computer vision algorithms for target identification in airstrikes. This application of artificial intelligence underscores its expanding role in prospective conflicts. As technological progress marches on, and drawing from my experience as a former servicemember, I find myself wondering: To what extent should humans be distanced from kill chains? At what juncture does integrating AI and machine learning capabilities into these processes make sense, considering the stakes entail potential human casualties? Can the integration of these capabilities minimize human casualties in future warfare, or does removing humans from the prosecution of kill chains make it (unfortunately) easier to take lives? #artificialintelligence #machinelearning #centcom #usa #defense #modernwarfare #usarmy (Source: The Defense post, UN University)
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Our latest feature highlights the impact of advanced technologies such as the CS/AA3 anti-aircraft guns and the integration of AI and data analytics on military strategy and operations. Learn how these developments are improving precision, optimizing resource allocation, and offering a strategic advantage in modern warfare. Read more here: https://lnkd.in/e55N3F6v #PraxiPulse #DataDrivenDefense #ArtificialIntelligence
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The Coast Guard of the future will increasing rely on Data, Analytics, and Artificial Intelligence.” This statement by the U.S. Coast Guard Commandant, Admiral Linda Fagan during her State of the Coast Guard address underscored a pivotal shift to how we operate: The integration of data, analytics, and artificial intelligence into the very fabric of Coast Guard operations. At the controls of preparing our members for this future is the U.S. Coast Guard Office of Data & Analytics that is championing efforts towards a technologically adept, mission-ready workforce. The focus is crystal clear: gearing up our teams with the knowledge, skills, and tools necessary to leverage the full potential of data, analytics and AI. Admiral Fagan's mandate is clear and compelling: 'We must get this right.' The future of the Coast Guard hinges on our ability to harness the power of technology to protect, to serve, and to excel in our unwavering commitment to maritime safety. The Office of Data & Analytics is ensuring the Coast Guard remains agile and capable in responding to the dynamic challenges of maritime operations, through a focus on workforce and mission readiness. #CGODA #USCG #SOTCG2024 #Data #AI #Analytics
The Coast Guard of the Future Will Increasingly Rely on Data, Analytics, and AI
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Artificial intelligence (AI) is revolutionizing defense, from autonomous systems to data analytics, with profound implications for national security. AI empowers defense agencies with enhanced decision-making, automation and predictive analysis, revolutionizing military operations. Let's unravel the role of AI in shaping the future of defense together. #AIinDefense #NationalSecurity #DefenseInnovation #FutureTech #NationalDefenseLab
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NCSU MIS '22; Retired USAF; Project Maven & DoD JAIC; Special Competitive Studies Project; CNAS Tech & National Security Program Adjunct Senior Fellow; Common Mission Project Board of Advisors; AI for national security
Thanks M. Lena Trabucco for allowing me to contribute to this Opinio Juris symposium. While I would never claim to approach this vital topic from a lawyer's viewpoint, I've benefited immensely from talking with you, Gary Corn, Dr. Iben Yde and many others. I especially want to thank Lt Gen (Dr) R S Panwar for his ground-breaking work to develop a risk framework for AI-enabled military systems. INHR Barry O'Sullivan REAIMSummit "The potential benefits for national security are so significant that AI’s adoption rate, along with its breadth and depth of diffusion, will accelerate in the coming years. The U.S. military – and indeed the militaries of every nation globally – will deploy AI to help it assure and deter and, should deterrence fail, to prevail in conflict. Moral objections to war aside, this is the essence of technology used in support of national security. The proposed five-tier hierarchy, while imperfect, initiates vital national and international discussions on AI’s military risks. While global LAWS bans will remain highly unlikely, the framework presents opportunities for a form of voluntary self-regulation. When combined with the safeguards described previously, especially the principles of AI Assurance, the risk framework allows the U.S. and other states to tailor risk mitigation strategies for lethal and non-lethal platforms, sensors, and networks. Moreover, in international settings, the framework presents opportunities for greater transparency between states, potentially even leading to agreements on a risk lexicon and risk assessment methodology, principles of AI assurance, and AI non-proliferation agreements, especially concerning state or non-state actors that do not comply with IHL."
Jack Shanahan kicks off the Opinio Juris symposium by proposing a risk hierarchy for developing and integrating AI into military systems. Frameworks like the one presented here can provide a useful lens for breaking down practical challenges and acknowledging the stakes. I think this post sets the stage nicely for the discussions that follow. "A comprehensive risk assessment is integral to the legal and operational scrutiny each weapon system undergoes. The goal is to reduce or, where feasible, eliminate each risk, while acknowledging that there are no risk-free weapon systems, AI-enabled or otherwise." https://lnkd.in/e6v2y9EH
Symposium on Military AI and the Law of Armed Conflict: A Risk Framework for AI-Enabled Military Systems
http://opiniojuris.org
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Fiddler has been honored with a Success Memo from the Defense Innovation Unit for our work on the AMMO MLOps prototype with the U.S. Navy. Here’s how we’re advancing undersea threat detection: 🔷 Rapid Retraining: Leveraging our Observability Platform, we've reduced the time needed to update ATR models from months to days. 🔷 Image Explainability: Enterprise-grade tools provide clarity and trust in model decisions. 🔷 Image Monitoring: Patented data drift detection and visual debugging revolutionize operational responsiveness. This milestone signifies a significant leap in subsea seabed warfare capabilities, setting a new standard in the deployment of responsible AI across defense operations. How could these advancements impact future defense strategies? Learn more: https://buff.ly/3ycjtHq — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability #DIU #USNavy #DoD
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Generative AI isn't just a buzzword anymore; it's a transformational tool rapidly becoming one of the most valuable resources available in today's defense #financialmanagement industry. Join us for this year's Data Analytics & Decision Support (DA/DS) virtual conference on Thursday, October 26, and learn how you can drive innovation and efficiency in your current role. We'll present cutting-edge research on artificial intelligence and insights from defense FM experts who can help you become a leader in the field. Click the link to learn more about DA/DS and register at the early bird rate: https://ow.ly/5hlQ50PBFtg #ASMC #ASMCHQ #DFM #financialmanagement #defense #auditing #accounting #budgeting #dod #military #dataanalytics #75yearsofASMC #governmentcontracting #defensecontracting #defenseindustry #generativeai #artificialintelligence #DADS2023
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Jack Shanahan kicks off the Opinio Juris symposium by proposing a risk hierarchy for developing and integrating AI into military systems. Frameworks like the one presented here can provide a useful lens for breaking down practical challenges and acknowledging the stakes. I think this post sets the stage nicely for the discussions that follow. "A comprehensive risk assessment is integral to the legal and operational scrutiny each weapon system undergoes. The goal is to reduce or, where feasible, eliminate each risk, while acknowledging that there are no risk-free weapon systems, AI-enabled or otherwise." https://lnkd.in/e6v2y9EH
Symposium on Military AI and the Law of Armed Conflict: A Risk Framework for AI-Enabled Military Systems
http://opiniojuris.org
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Responsible and safe use of AI in civilian and military domains 💫 100 Brilliant Women AI Ethics. Epistemology | Cognitive science | Human-autonomy teaming | Decision optimisation | Collective reasoning
Jack Shanahan proposes a risk framework for military AI — “The architecture design begins with determining whether an AI-enabled system is either a weapon system or a decision support system. The weapon system category is divided between “excessive risk” and “permitted” weapon systems. The category of permitted weapon systems is divided further into the sub-categories of “high risk” and “medium risk” weapon systems. Finally, the decision support system category is split between “critical” and “non-critical” decision support systems. For every use case, the objective is to gain clarity on specified risks and, as necessary, present risk mitigation recommendations to military leaders and policymakers Level 1: weapon systems posing excessive risks. Based on a comprehensive benefit-risk analysis, some AI-enabled weapon systems will be deemed to be of such high risk – posing potentially catastrophic consequences – that the overwhelming number of states and militaries believe the systems should not be used or even developed, either for a specified period or permanently. <snip> Levels 2 & 3: permitted weapon systems posing acceptable risks. Almost all AI-enabled military weapon systems presently fit into one of these two categories. Based on assessments of predictability, reliability, explainability, transparency, and biases along with the additional risk evaluation parameters discussed below, certain AI-enabled weapon systems will be assessed as posing higher risks than others. <snip> Level 4: critical decision support systems. In general, a critical decision support system is one in which there is a direct connection to warfighting operations; for instance, a generative AI model used for planning kinetic or even non-kinetic attack options. <snip> Level 5: non-critical decision support systems. These systems are not directly integrated into warfighting or warfighting support systems, and through that lens are determined to pose negligible risks (even while still requiring sufficient TEVV); for instance, personnel or finance systems that include AI or more traditional process automation components. <snip>
Jack Shanahan kicks off the Opinio Juris symposium by proposing a risk hierarchy for developing and integrating AI into military systems. Frameworks like the one presented here can provide a useful lens for breaking down practical challenges and acknowledging the stakes. I think this post sets the stage nicely for the discussions that follow. "A comprehensive risk assessment is integral to the legal and operational scrutiny each weapon system undergoes. The goal is to reduce or, where feasible, eliminate each risk, while acknowledging that there are no risk-free weapon systems, AI-enabled or otherwise." https://lnkd.in/e6v2y9EH
Symposium on Military AI and the Law of Armed Conflict: A Risk Framework for AI-Enabled Military Systems
http://opiniojuris.org
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Senior Security Correspondent at Asia Times, Assistant Lecturer, and Ph.D. student at People's Friendship University of Russia.
Today in Asia Times, I wrote about the latest annual report from the US Department of Defense (DoD) concerning China's military and security posture, specifically focusing on integrating artificial intelligence (AI) and big data in Beijing's military strategies. The report highlights a new "core operational concept" known as Multi-Domain Precision Warfare (MDPW), which aims to exploit vulnerabilities in the US military through AI and big data analytics, combining forces across multiple domains for precision strikes. Furthermore, the report indicates that the People’s Liberation Army (PLA) is working on simulations, war games, and exercises to refine these AI-driven capabilities. The article also delves into the emerging discussions around intelligent warfare and its impact on military doctrines. Experts argue that intelligent warfare will likely feature hybrid man-machine command systems, expanding conflict zones into areas less accessible to humans, like space and underwater domains. However, they also mention vulnerabilities tied to AI, such as data vulnerability and ethical considerations. Moreover, the discourse in the international community suggests a budding AI arms race, with proposals for regulation ranging from a temporary pause on AI development to establishing international bodies for oversight.
US DoD report a warning of China's AI war powers
http://asiatimes.com
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2moVery interesting, when is the talk of Sofie Berns scheduled?