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Marin Ivezic

Marin IvezicOver the past two decades, I have closely observed advancements in AI and have authored a book on the future with AI. This in-depth exposure has resulted in my recognition of AI as a potentially unparalleled threat. Since the early 2000s, I have been deeply involved in AI security research. I recognized early the dangers posed by AI-enabled disinformation and have been discussing these risks with various governments since 2010. Among the myriad risks associated with AI, I am particularly concerned about its application in military contexts, which is why I started my Defence.AI blog. For further info on my views on AI risks and more about me.

Luka Ivezic

Luka IvezicLuka Ivezic is a guest contributor to securing.ai. He is the Lead Cybersecurity Consultant for Europe at the Information Security Forum (ISF), a leading global, independent, and not-for-profit organisation dedicated to cybersecurity and risk management. Before joining ISF, Luka served as a cybersecurity consultant and manager at PwC and Deloitte. His journey in the field began as an independent researcher focused on cyber and geopolitical implications of emerging technologies such as AI, IoT, 5G. He co-authored with Marin the book “The Future of Leadership in the Age of AI”. Luka holds a Master’s degree from King’s College London’s Department of War Studies, where he specialized in the disinformation risks posed by AI.

    AI Security Articles

    AI Safety Articles

    • AI SafetyRobot Uncontrollable AI Cyber Kinetic

      The Dual Risks of AI Autonomous Robots: Uncontrollable AI Meets Cyber-Kinetic Risks

      The automotive industry has revolutionized manufacturing twice. The first time was in 1913 when Henry Ford introduced a moving assembly line at his Highland Park plant in Michigan. The innovation changed the production process forever, dramatically increasing efficiency, reducing the time it took to build a car, and significantly lowering the cost of the Model T, thereby kickstarting the world’s…

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    • AI SafetyStatement on AI Risk

      Marin’s Statement on AI Risk

      The rapid development of AI brings both extraordinary potential and unprecedented risks. AI systems are increasingly demonstrating emergent behaviors, and in some cases, are even capable of self-improvement. This advancement, while remarkable, raises critical questions about our ability to control and understand these systems fully. In this article I aim to present my own statement on AI risk, drawing inspiration…

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    • AI PrivacyChief AI Security Officer CAISO

      Why We Need a Chief AI Security Officer (CAISO)

      With AI’s breakneck expansion, the distinctions between ‘cybersecurity’ and ‘AI security’ are becoming increasingly pronounced. While both disciplines aim to safeguard digital assets, their focus and the challenges they address diverge in significant ways. Traditional cybersecurity is primarily about defending digital infrastructures from external threats, breaches, and unauthorized access. On the other hand, AI security has to address unique challenges…

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    • AI SafetyAI Alignment Problem

      The AI Alignment Problem

      The AI alignment problem sits at the core of all future predictions of AI’s safety. It describes the complex challenge of ensuring AI systems act in ways that are beneficial and not harmful to humans, aligning AI goals and decision-making processes with those of humans, no matter how sophisticated or powerful the AI system becomes. Our trust in the future…

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    • AI SafetyEmergent AI Security

      “Magical” Emergent Behaviours in AI: A Security Perspective

      Emergent behaviours in AI have left both researchers and practitioners scratching their heads. These are the unexpected quirks and functionalities that pop up in complex AI systems, not because they were explicitly trained to exhibit them, but due to the intricate interplay of the system's complexity, the sheer volume of data it sifts through, and its interactions with other systems…

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    • AI SafetyExplainable AI Framework

      Explainable AI Frameworks

      Trust comes through understanding. As AI models grow in complexity, they often resemble a "black box," where their decision-making processes become increasingly opaque. This lack of transparency can be a roadblock, especially when we need to trust and understand these decisions. Explainable AI (XAI) is the approach that aims to make AI's decisions more transparent, interpretable, and understandable. As the…

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    AI Privacy Articles

    • AI PrivacyChief AI Security Officer CAISO

      Why We Need a Chief AI Security Officer (CAISO)

      With AI’s breakneck expansion, the distinctions between ‘cybersecurity’ and ‘AI security’ are becoming increasingly pronounced. While both disciplines aim to safeguard digital assets, their focus and the challenges they address diverge in significant ways. Traditional cybersecurity is primarily about defending digital infrastructures from external threats, breaches, and unauthorized access. On the other hand, AI security has to address unique challenges…

      Read More »
    • AI PrivacyHomomorphic Encryption ML

      Securing Machine Learning Workflows through Homomorphic Encryption

      Homomorphic Encryption has transitioned from being a mathematical curiosity to a linchpin in fortifying machine learning workflows against data vulnerabilities. Its complex nature notwithstanding, the unparalleled privacy and security benefits it offers are compelling enough to warrant its growing ubiquity. As machine learning integrates increasingly with sensitive sectors like healthcare, finance, and national security, the imperative for employing encryption techniques…

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    • AI PrivacyDynamic Data Masking ML

      How Dynamic Data Masking Reinforces Machine Learning Security

      Data masking, also known as data obfuscation or data anonymization, serves as a crucial technique for ensuring data confidentiality and integrity, particularly in non-production environments like development, testing, and analytics. It operates by replacing actual sensitive data with a sanitized version, rendering the data ineffective for malicious exploitation while retaining its functional utility for testing or analysis.

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    • AI PrivacyDifferential Privacy AI

      Securing Data Labeling Through Differential Privacy

      Differential Privacy is a privacy paradigm that aims to reconcile the conflicting needs of data utility and individual privacy. Rooted in the mathematical theories of privacy and cryptography, Differential Privacy offers quantifiable privacy guarantees and has garnered substantial attention for its capability to provide statistical insights from data without compromising the privacy of individual entries. This robust mathematical framework incorporates…

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    • AI PrivacyAI Smart City Privacy

      The Future of Privacy in our Smart Living – Part 2

      In a world where the population is increasing and resources are finite, we need to find smarter ways of living together. Smart technologies hold the key to making this happen but we need to proceed with caution and build a layer of respectful trust and privacy in our smart places.

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    • AI PrivacySmart City Privacy AI

      The Future of Privacy in our Smart Living

      It is inevitable and important that human society moves towards a smarter way of living. We must use intelligent ways to improve our infrastructure and its dependencies. To do this we have to share our personal information, from direct to indirect identifiers. At some point, in a not too distant future, it is likely our every moment, both awake and…

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    AI Disinformation Articles

    • AI DisinformationAI Disinformation

      Introduction to AI-Enabled Disinformation

      In recent years, the rise of artificial intelligence (AI) has revolutionized many sectors, bringing about significant advancements in various fields. However, one area where AI has presented a dual-edged sword is in information operations, specifically in the propagation of disinformation. The advent of generative AI, particularly with sophisticated models capable of creating highly realistic text, images, audio, and video, has…

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    • AI DisinformationAI Targeted Disinformation

      Targeted Disinformation

      Targeted disinformation poses a significant threat to societal trust, democratic processes, and individual well-being. The use of AI in these disinformation campaigns enhances their precision, persuasiveness, and impact, making them more dangerous than ever before. By understanding the mechanisms of targeted disinformation and implementing comprehensive strategies to combat it, society can better protect itself against these sophisticated threats.

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    • AIAI Disinformation

      AI-Exacerbated Disinformation and Threats to Democracy

      Recent events have confirmed that the cyber realm can be used to disrupt democracies as surely as it can destabilize dictatorships. Weaponization of information and malicious dissemination through social media pushes citizens into polarized echo chambers and pull at the social fabric of a country. Present technologies enhanced by current and upcoming Artificial Intelligence (AI) capabilities, could greatly exacerbate disinformation…

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    AI (Other) Articles

    • AIHistory AI

      A (Very) Brief History of AI

      As early as the mid-19th century, Charles Babbage and Ada Lovelace created the Analytical Engine, a mechanical general-purpose computer. Lovelace is often credited with the idea of a machine that could manipulate symbols in accordance with rules and that it might act upon other than just numbers, touching upon concepts central to AI.

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    • AIAI Risks

      Risks of AI – Meeting the Ghost in the Machine

      Because it demands so much manpower, cybersecurity has already benefited from AI and automation to improve threat prevention, detection and response. Preventing spam and identifying malware are already common examples. However, AI is also being used – and will be used more and more – by cybercriminals to circumvent cyberdefenses and bypass security algorithms. AI-driven cyberattacks have the potential to…

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    • AIAI Disinformation

      AI-Exacerbated Disinformation and Threats to Democracy

      Recent events have confirmed that the cyber realm can be used to disrupt democracies as surely as it can destabilize dictatorships. Weaponization of information and malicious dissemination through social media pushes citizens into polarized echo chambers and pull at the social fabric of a country. Present technologies enhanced by current and upcoming Artificial Intelligence (AI) capabilities, could greatly exacerbate disinformation…

      Read More »
    • AIQuantum Artificial Intelligence QAI

      Introducing Quantum Artificial Intelligence (QAI): The Future Intersection of Quantum Computing and AI

      Table of ContentsIntroductionExponential Growth in AI Computing RequirementsIntroduction to Quantum Artificial Intelligence (QAI)Why Quantum Computers Are Well-Suited for Manipulating Vectors and Matrices Required by AIRecent Key Quantum Artificial Intelligence (QAI) Research PapersQuantum Machine Learning AlgorithmsApplications of Quantum AIChallenges and Future DirectionsConclusion Introduction (This article was originally published in 2018. Updated in 2022 after the release of ChatGPT) While I like…

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    • AIAI Cybersecurity

      AI: The Shifting Battlefield in the Cybersecurity Arms Race

      Cybersecurity strategies need to change in order to address the new issues that Machine Learning (ML) and Artificial Intelligence (AI) bring into the equation. Although those issues have not yet reached crisis stage, signs are clear that they will need to be addressed – and soon – if cyberattackers are to be prevented from obtaining a decided advantage in the…

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    • AIAI Nirvana Distopia

      AI Is Neither the End of Civilization nor the Beginning of Nirvana

      Where AI, robots, IoT and the so-called Fourth Industrial Revolution are taking us, and how we should prepare for it are some of the hottest topics being discussed today. Perhaps the most striking thing about these discussions is how different people’s conclusions are. Some picture a utopia where machines do all work, where all people receive a universal basic income…

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