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OpenAI Unveils 98.8% Effective Deepfake Detector - High Detection Rate: OpenAI releases a deepfake detector capable of identifying 98.8% of images generated by DALL-E 3, its own AI image generator. - Focused Distribution: The tool is shared with a select group of disinformation researchers to enhance real-world testing and improvement. - Industry Collaboration: OpenAI joins the C2PA to develop digital content standards, alongside watermarking AI-generated sounds for easier identification. Subscribe to our daily newsletter here for more AI news https://lnkd.in/gfWisT4e #Technology #Innovation #AI #ArtificialIntelligence #Entrepreneurship #SoftwareEngineering #BigData #Datascience #DigitalMarketing #CyberSecurity

The U.S. Department of Defense (DoD) has launched an innovative crowdsourcing initiative aimed at identifying biases in large language models, a key aspect of generative artificial intelligence. Leveraging the concept of bug bounty programs, the DoD, in collaboration with ConductorAI, Bugcrowd, and BiasBounty.AI, is encouraging public participation (no coding experience required) to unearth systematic errors in AI systems. Running from January 29 to February 27, with a total prize pool of $24,000, this effort is part of the Pentagon's larger commitment to "responsible AI." This endeavor, endorsed by the Chief Digital and AI Office (CDAO), not only seeks to mitigate risks associated with AI but also influences the Pentagon's AI policies and technology adoption. Following the success of this first round, a second bounty is planned. Additionally, the DoD has formed Task Force Lima to explore military applications of generative AI, signaling a significant step towards integrating advanced AI technologies in defense mechanisms while ensuring ethical and responsible usage. #ai #defense #dod #biasbounty #crowdsourcing #cybersecurity #aiethics #responsibleai #technology #innovation Source- https://lnkd.in/d5VpmdkU

The Pentagon is intensifying its efforts on big data and artificial intelligence (AI) but faces the risk of adversaries "poisoning" the data crucial for training AI, leading to potentially skewed algorithms that could be used in future conflicts. Jennifer Swanson, the Army's software acquisition chief, warns that adversaries might tamper with the training data, a technique known as "data poisoning." While Swanson believes current military data is safe, the threat could be significant in conflicts with near-peer adversaries. The challenge arises because machine-learning algorithms require vast amounts of data, and the Pentagon is working hard to curate, clean, and protect this data. The military plans to secure AI models in firewalled environments, with systems at Impact Level 5 or 6, to mitigate risks and maintain secure datasets. Despite Swanson's extensive tech experience, she acknowledges the uncertainties surrounding AI's reliability and how it continues learning, leading to unpredictability. The Army aims to establish secure machine learning operations and incorporate AI into its battlefield strategies, but testing AI's adaptability and potential vulnerabilities remains a challenge. The goal is to ensure AI does not deviate from intended outcomes, raising concerns about long-term reliability and security in battlefield applications. #ai #bigdata #datapoisoning #pentagon #machinelearning #militarytechnology #cybersecurity #defsecops #battlefieldAI #militaryinnovation Source- https://lnkd.in/gZBwA7xW

🌍 AI in Combat: Opportunity or Risk? 🤖 A new study from the AI Now Institute highlights the growing use of AI in military operations and the risks it brings. From data vulnerabilities to bias and hallucinations, current AI systems pose significant national security concerns. The solution? The study calls for secure, isolated AI systems, separate from commercial models, to minimize these risks. As AI continues to evolve, its role in national security must be handled carefully. What’s your take on AI in defense? #AI #MilitaryAI #NationalSecurity #DefenseTech #TechInnovation

AI tech wave will hit us like a tsunami Khosla draws a parallel between the anticipated impact of AI and the relentless force of a tsunami. He emphasizes the magnitude and rapidity of the impending transformation. He reflects on historical transitions, like the decline of agricultural employment, but highlights the unprecedented speed of AI-driven changes. Khosla expresses concern over AI's implications for defense, warfare, and cybersecurity, emphasizing the need for robust governance and research in these areas. Despite acknowledging the importance of AI safety and ethical considerations, he underscores the urgency of addressing immediate challenges posed by AI's disruptive potential.

The most highly-scaled #AI companies, through the Frontier Model Forum, are ensuring safe and responsible development of frontier AI models. Jason Clinton delves into Anthropic's Responsible Scaling Policy, discussing AI Safety Level 4 systems and the critical need to defend them against nation-state attackers. Learn about defining ASL-4 security hardening, including the use of #confidentialcomputing for training and inference. #ccsummit #confidentialAI #ccsummit24 #dataprivacy

Want to become a master in AI Security? Then join us at OWASP® Foundation Global AppSec Lisbon 2024! Our Senior Principal Expert Rob van der Veer will host a full-day training in AI security, where you'll learn: - An exhaustive exploration of the distinctive vulnerabilities of AI; - Possible attack vectors; - The most current strategies to counteract threats like prompt injection, data poisoning, model theft, evasion, and more! Gain hands-on experience in enacting strong security measures, attacking AI systems, conducting threat modeling on AI, and targeted vulnerability assessments for AI applications. Don't miss out - sign up via the link in the description! 👇 #AI #OWASP #ArtificialIntelligence #AppSec #Learning #Master

Advanced BEC attacks resulted in $2.9 billion in losses in 2023. AI is vital for BEC defense, but it’s not a catch-all, it must be integrated with traditional methods to manage false positives and other essential tasks. Join us for an upcoming webinar on how to bridge this gap and keep your organization safe from BEC attacks. Edwin Moreno will explore common attack vectors utilized by threat actors and demonstrate real-world examples of the risks and impact of BEC. #AI Register today: https://lnkd.in/dKkVFptJ

In today's rapidly evolving technological landscape, integrating artificial intelligence (AI) and machine learning (ML) into electronic warfare (EW) is essential for military superiority. AI algorithms process vast amounts of data swiftly, enabling rapid decision-making that outpaces adversaries. Additionally, ML models can predict enemy actions, keeping our forces a step ahead. As we advance, the convergence of cyber operations and EW through AI is transforming warfare right before our very eyes. Mastering these technologies is crucial—there's no room for complacency. #ArtificialIntelligence #MachineLearning #ElectronicWarfare #MilitaryInnovation #DefenseTech

The Gladstone AI report identifies two primary dangers associated with advanced AI. First, it warns of weaponization risks, where AI systems could be exploited to carry out catastrophic attacks, posing severe national security threats. Second, it highlights the danger of loss of control, where advanced AI might surpass human control, leading to unintended and potentially irreversible outcomes. These risks are intensified by competitive pressures within the AI industry, where companies may prioritize speed over safety to secure market dominance. The report calls for proactive government oversight and regulatory policies, such as controlling the computational power used for AI training and requiring authorization for deploying advanced AI models, to mitigate these threats. #AIrisks #Weaponization #LossOfControl #AISafety #AIRegulation #GladstoneAI #NationalSecurity