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🚀 What are the advantages of AI-based anomaly detection systems compared traditional rule-based approaches? Find it out here! 🤖 How It Works: Anomaly detection helps companies identify irregular patterns that could indicate issues such as fraud, security breaches, defective products or system failures. With machine learning, AI monitors operations, analyzes data, learns to identify deviations from standard patterns and improves its predictions over time. Manual adjustments are thus no longer necessary. 💡 Advantages: Scalability ➡️ It handles massive data volumes effortlessly, growing with your needs. Adaptability ➡️ It automatically adjusts to new patterns, keeping you ahead of the curve. Efficiency ➡️It automates detection, saving valuable time and resources. You want to know more about the possibilities of AI-based Anomaly Detection? You find the link to our article about the topic in the comments. 👇 #AI #AnomalyDetection #MachineLearning #Technology #Innovation #Scalability #Adaptability #TechTrends

🌐 Pioneering the Paradigm of Safe AI with Safe Superintelligence Inc. 🚀 It's official: Ilya Sutskever, co-founder of OpenAI, has unveiled his latest brainchild, Safe Superintelligence Inc. (SSI), with a clear-cut mission to shape a future where AI's potential is matched only by its safeguards. This pivot to prioritizing safety in the realm of superintelligence is not just commendable—it's crucial. 🔍 Featured in The New York Times, Time, and CNBC, the buzz around SSI's aim to intertwine supreme AI capabilities with uncompromised security protocols is palpable. Based in Palo Alto and Tel Aviv, they're on the lookout for trailblazing minds ready to mitigate the risks and unlock AI’s full promise. 💡 What can a focus on safe superintelligence mean for our future? For one, an AI that learns, adapts, and evolves responsibly could redefine the boundaries of innovation and security. ✨ #SafetyInAI isn't just a hashtag; it's SSI's raison d'être. Led by thinkers like Sutskever, Gross, and Levy, SSI's straight-shot approach to superintelligent AI promises a future where growth and safety coexist harmoniously. 🔗 Discover more about their ground-breaking mission at https://ssi.inc/ and consider the profound impact such a dedicated endeavor could have on our world. 🤝 I invite you to engage with this pivotal development: - What are your thoughts on the balance between AI development and safety? - How do you foresee safe superintelligence influencing your industry? - Could SSI's one-track focus on AI safety set a new standard for tech enterprises? ⬇️ Share your insights below and let's discuss how safe superintelligence can reshape our lives. #AI #Superintelligence #TechInnovation #EthicalAI

The FutureTech group at MIT's CSAIL, along with a team of collaborators, has compiled a database of documents containing over 700 potential risks associated with advanced AI systems. This database represents the most comprehensive source of information on previously identified issues that could emerge from the development and deployment of these models. The team combed through peer-reviewed journal articles and preprint databases that detail AI risks. This database opens the door for future research. . Excerpt: "Adopting AI can be fraught with danger. Systems could be biased, or parrot falsehoods, or even become addictive. And that’s before you consider the possibility AI could be used to create new biological or chemical weapons, or even one day somehow spin out of our control. " . . . You can access the link here: https://airisk.mit.edu . . . #artificialintelligence #AI #MIT #technology #future #database #documentation #tech #system #risk #AIsystem

🗣️ As a #WednesdayWrapUp Mary Guzman summarizes her time at The Sedona Conference with two fascinating takeaways from the culmination of the fascinating sessions:   1️⃣ How Long a Trade Secret Can Stay Secret with #AI: The Sedona Conference shed light 💡 on the intriguing question of how long a #tradesecret can remain secret in the age of AI. With the rapid advancements in AI technologies, businesses must recognize the potential risks that arise when AI algorithms can deduce and extract valuable information. Discussions at the conference centered around the challenges of safeguarding trade secrets from AI's ability to analyze vast amounts of data and detect patterns that were previously unseen. 2️⃣ Crediting Independent Development When Using AI Tools: Another thought-provoking topic explored at the conference was whether individuals can still be credited with independent development when utilizing AI tools. As AI becomes increasingly prevalent in various industries, it is vital to address the issue of ownership and acknowledgment. While AI tools can enhance creativity and productivity, it raises questions about the extent to which human input is required to be considered an independent developer. 🧠💡As AI becomes more sophisticated, companies must proactively adapt their strategies to protect their proprietary information, implementing robust security measures and staying vigilant in monitoring potential breaches.  #CoverYourAssets #SafeguardSuccess #Insurance #ProtectingIP

Massachusetts Institute of Technology researchers have recently launched AI risk repository which includes over 700 AI risks extracted from 43 existing frameworks, grouped by causal factors (e.g. intentionality), domains (e.g. discrimination) and subdomains (e.g. disinformation and cyberattacks). The Causal Taxonomy of AI Risks classifies how, when, and why these risks occur. The Domain Taxonomy of AI Risks classifies these risks into seven domains (e.g., “Misinformation”) and 23 subdomains (e.g., “False or misleading information”). The 7 domains are: 1️⃣ Discrimination & Toxicity 2️⃣ Privacy & Security 3️⃣ Misinformation 4️⃣ Malicious actors and misuse 5️⃣ Human-computer interaction 6️⃣ Socioeconomic & environmental harms 7️⃣ AI systems safety, failures and limitations https://airisk.mit.edu/ It's free and you can download the repository using following link. The team believes that it's a first comprehensive review of AI risk frameworks and taxonomies which extracts their risks and releases that data for further adaptation and use. https://lnkd.in/gNwzWq3G It can be useful for the customers to conduct internal risk assessments, evaluate risk exposure and developing risk mitigation strategies. Great work for such a comprehensive repository, team !! #AIRiskRepository #AIRisk #GenAI

✅ Peanut butter and jelly. ✅ Batman and Robin. ✅ Salt and pepper. Is AI and Networking the next power couple? 🤔 We're already seeing organizations leverage #ArtificialIntelligence in their network operations, but not everyone is ready to dive head-first into the world of #AI.  While there are significant security concerns, advanced threat detection utilizing AI has been gaining steam. Add in the possibilities of #NetworkAutomation fueled by AI, and the connectivity industry could be witnessing a major shift. We want to hear from you! ⬇️ Should companies be prioritizing AI in their networking strategy or focus elsewhere?

According to research conducted with the Massachusetts Institute of Technology (MIT), 62% of experts believe that current AI risk management strategies are not keeping pace. The rapid evolution of technology, coupled with uncertain risks and shifting regulations, presents complex challenges in deploying and scaling AI while ensuring safety, security, and compliance. Explore the effective strategies recommended by BCG AI experts to navigate these risks: [Link to strategies] #AI #RiskManagement #Technology #MIT #BCG

I am so delighted, that I will attend the Future of AI 2024 organised by the #FinancialTimes . In times like these it is important to gather and share, learn & discuss the recent developments in #AI .... and one thing is true: We don't even know today, what we will be discussing in November. So please, if you want, join me at the FT event. Who will be there? #artificialintelligence #aievent #businessdevelopment #digitaltransformation

Important steps toward Global AI Governance.

Is your approach to AI adoption customer-first? If not, you should re-think that. On-Demand now! 🔥 Fireside chat with Kong CTO Marco Palladino and Head of Product Marketing Bryan Nairn, CISSP. - 🌍 The implications of AI adoption and its future impact on businesses. - 🚀 How organizations are embracing AI, the challenges they face, and strategies for successful implementation. - 🌐 The crucial role of API Management in integrating AI technologies for enhanced efficiency and innovation. - 🛠 How Kong's AI Gateway is revolutionizing the way businesses adopt and govern AI, ensuring security and scalability. Tune in now. https://lnkd.in/gm5fZvaY #OnDemandWebinar #TechWebinar #AI #API #ArtificialIntelligence