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Shadow AI, also known as Shadow IT for AI, refers to using artificial intelligence applications and tools within an organisation without explicit knowledge or oversight from the IT department. It poses several risks, such as data privacy and security breaches as well as compliance violations. Have you heard of Shadow AI before? #AI #future #technology #data #datacareer #datascience #PangaeaX #Xmarksthespot

Ethical AI development is crucial for a responsible future. 💡 Prioritize transparency, fairness, accountability, privacy, and security to ensure AI benefits everyone while mitigating risks. Contact us to learn more! 📩 #FeliZeekTech #EthicalAI #AIResponsibility #TechForGood #AIethics #FutureOfAI

Board’s AI Oversight Alert!! Under Biden's AI Executive Order, the AI Safety institute's charter is not just to foster the creation of powerful AI systems, but to set the gold standard in safety. It aims to develop comprehensive standards 📐 and robust 'red-teaming' protocols to test these systems, ensuring they align with privacy and security requisites. 🛡️ This marks a significant benchmark for tech governance — embracing the potential of AI while proactively mitigating any undue risks to society. What do you think?

Yesterday, the EU AI Act officially came into force, establishing comprehensive regulations for AI systems. Scope and Applicability The Act applies to all public and private sectors, inside and outside the EU, impacting any AI system marketed within the Union or affecting individuals in the EU. Risk Categories Unacceptable Risk: AI uses violating fundamental rights and EU values are banned (e.g., social scoring). High-Risk: Systems affecting safety or fundamental rights face stringent requirements (e.g., medical treatment eligibility, job applications). Specific Transparency Risk: Mandates transparency for applications like chatbots and deep fakes to ensure user awareness. Minimal Risk: Most AI systems fall here, with development under existing laws, though providers can voluntarily adhere to trustworthy AI standards. General-Purpose AI Models Providers of large generative models must assess risks, report incidents, ensure cybersecurity, respect copyrights, and disclose relevant information. Implementation Timeline The Act is in force now but will be fully applicable in 24 months, fostering a safe and innovative AI landscape in the EU. #AI #EULaw #TechnologyRegulation #AICompliance #ArtificialIntelligence #Innovation #TechLaw #DataProtection #AIGovernance #DigitalTransformation #RiskManagement #Transparency #TechNews #AIethics #FutureTech #Cybersecurity #GenerativeAI #TechUpdate #AIinBusiness #AIRegulation

Dear LinkedIn community, Understanding the potential risks associated with AI implementation is crucial for businesses aiming for sustainable success. Our latest blog post explores the challenges of developing and implementing AI models, as well as the implications for privacy, security, and ethical considerations. Learn about the top 10 AI risks that can affect your business and how to mitigate them effectively. Read the full article here: [Understanding and Mitigating the Potential AI Risks in Business](https://lnkd.in/d5WdNxFe) #AI #ArtificialIntelligence #Business #Tech #DataPrivacy #DataSecurity #EthicalAI #RiskManagement

The AI Act has been published in the Official Journal. The European Union has enacted the AI Act, which categorizes AI risks from minimal to unacceptable and aims to promote safe, reliable, and responsible AI systems. This marks a significant step in balancing rapid technological advancement with essential ethical principles. We've explored this topic in detail in our blog, where we also explain how Almawave’s technology strategy aligns with these regulations through a Security & Privacy by Design approach. Discover more here: https://lnkd.in/eA6_nvQ6 #AIAct #artificialintelligence #innovation

93% of U.S. businesses lack a comprehensive governance framework for GenAI It's not just the potential of AI itself but the weighty concerns of data privacy and security. This is a wake-up call. Only 10% of businesses have any way of measuring bias and privacy risks in their AI systems. This means they may not even know they are at risk. Not to mention the fact that there is a gap in talent to leverage the technology fully and secure it. Remember that AI is a tool that needs to solve a problem. Let's not rush in without a problem to solve and a way to control it. You can read more in this article: https://lnkd.in/g38irBuG #GenerativeAI #AIethics #TechLeadership #DigitalTransformation

#responsibleai and #secureai can help businesses minimize unintended bias, ensure #ai transparency, and create opportunities for employees.    Protect the privacy and #security of data, enhance the quality of AI systems, and improve long-term business outcomes today    https://lnkd.in/dGb6XG_H   #akiraai

This week's major AI announcements in the US and UK have been a long time coming. While there's much more work to be done and debates to be had, this is a significant moment for peers, researchers, civil society, and developers who have been asking for specific actors, criteria, timelines, and explicit risks to prioritize when implementing AI projects. DynamoFL has been planning for the AI security and privacy calls to action that were specifically mentioned in President Biden's executive order, for over two years now. We're also (unsurprisingly!) already at work on the next frontier of risks. #AISafety #SecureAI and #ResponsibleAI is our bread and butter, and we're here to help large organizations and Fortune 500 companies navigate global regulatory expectations on AI https://lnkd.in/eYPBTCUE

🎉 NEW: AI & DATA PRIVACY WHITEPAPER Download Mastering Data Privacy in the Age of Artificial Intelligence for: ❔ What data processors and controllers using AI should consider; 🤝 How to integrate AI systems with privacy in mind; ⚙ Data security, ethics and reliability considerations; 🚦 How to implement a robust AI and data protection strategy; And more! https://lnkd.in/eut-5ueK #AI #dataprivacy #dataprotection