Topic:machine learning — Global Security Review %

AI & Deterrence, Archive, Bonus Readsaccountability, adaptability, agentic AI, AI decision-making, artificial intelligence, autonomy, biases, cloud computing, continuous learning, cybersecurity risks, data privacy, ethical guidelines, ethical implications, financial analytics, financial growth, governance frameworks, healthcare diagnostics, inclusive decision-making, job displacement, job security, legacy systems, machine learning, natural language processing, operational efficiency, personalized customer experiences., predictive analytics, privacy rights, productivity, real-time analytics, regulatory oversight, reskilling, skill redundancy, surveillance, transparency, upskilling, venture capital

Navigating the New Frontier: Agentic AI’s Promise and Challenges

Greg Sharpe0 Comments

Artificial intelligence (AI) is entering a new era with the rise of agentic AI, a groundbreaking innovation redefining how machines interact with the world and perform tasks. Unlike traditional AI…

AI & Deterrence, Archive, Strategic Adversariesaccountability, AI, AI Disclosure Act, Algorithmic Accountability Act, artificial intelligence, Artificial Intelligence Data Act, China, Council of Europe, democracy, Digital Services Oversight and Safety Act, ethical application, ethics, EU Artificial Intelligence Act, European regulation, explainability, fairness, Framework Convention, Global AI Governance Initiative, global governance, governance, Human Rights, injustice, innovation, international cooperation, liberal international order, machine learning, National Defense Authorization Act, openness, privacy, resource allocation, rule of law, sustainable development, technology advancement. , United Nations

Paving the Ethical Route for AI

Huma Rehman0 Comments

The complex landscape of artificial intelligence (AI) is increasingly relevant across all fields and nations. Since AI affects every state, its benefits and drawbacks must be addressed collectively. The recent…

Archive, Strategic AdversariesAI, algorithms, artificial intelligence, counter-AI, data, decision-making, human-machine teaming, machine learning, military operations, ML, radar, stealth, technology

The Double-edged Sword of Artificial Intelligence

Joshua Thibert1 Comment

The integration of artificial intelligence (AI) and machine learning (ML) into stealth and radar technologies represents a key element of the race to the top of defense technologies currently taking…

AI & DeterrenceAI, artificial intelligence, Attributable responsibility, machine learning, Nuclear Deterrence

Should artificial intelligence be banned from nuclear weapons systems?

GSR Staff0 Comments

By: Professor Steffan Puwal Against a backdrop of conflict and global security concerns, 2023 may prove to have also been a pivotal year for automated nuclear weapons systems. A year…

AI & DeterrenceAI, artificial intelligence, autonomous decisions. battlebots, machine learning, ML, nuclear capabilities, Nuclear Deterrence, Nuclear Weapons, quantum computing, quantum theory, robot missiles

Artificial Intelligence for Nuclear Deterrence Strategy

GSR Staff0 Comments

The document "Artificial Intelligence for Nuclear Deterrence Strategy 2023" outlines the Advanced Simulation and Computing (ASC) program's strategy to integrate artificial intelligence (AI) and machine learning (ML) into the U.S.…

Archive, Emerging ThreatsAI, artificial intelligence, Cyber, defense, Deterrence, GSR, intelligence operations, International Security, ISR, large language model, machine learning, NIDS, Nuclear Deterrence, policy, reconnaissance, strategic competition, strategy, UAS, UAV

Unveiling the Future: The Convergence of AI and Strategic Intelligence Operations

Joshua Thibert0 Comments

The intersection of artificial intelligence (AI) technologies and strategic intelligence operations represents a pivotal frontier in the security landscape. Rapid advancements in AI, machine learning (ML), and data analytics will…