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From Ethical to Accountable: At Humans in Charge Responsible AI Symposium, Adrián González Sánchez, Data & AI Lead at Microsoft Spain, highlighted a critical shift in his keynote speech: accountability in AI is now essential, driven by new regulations and societal expectations. 💡 “A lot of years ago, we were talking about ethical AI… Now, we have no choice but to be accountable,” Adrián stated, underlining the need for a structured, compliant approach to AI governance. Using a “puzzle” analogy, he described the integration of national standards, international frameworks like ISO, and industry-specific regulations as essential pieces in building responsible AI practices. For organizations, the key takeaway? Don’t reinvent the wheel. Using available standards and tools can help make responsible AI governance more effective and accessible. What steps do you think are most crucial for building accountability in AI? #ResponsibleAI #AIGovernance #AIRegulation #Innovation #HumansinCharge

Press Release Summary: EU AI Pact Signatories Commit to Trustworthy AI Development On September 25, 2024, the European Commission announced that over a hundred companies, including multinational corporations and SMEs from various sectors, have signed the EU AI Pact. This initiative aims to promote trustworthy and safe AI development ahead of the full application of the AI Act. The Pact encourages companies to adopt three core commitments: 1. AI Governance Strategy: Establishing frameworks for AI integration and compliance with the AI Act. 2. High-Risk AI Systems Mapping: Identifying systems likely to be categorized as high-risk. 3. Promoting AI Literacy: Ensuring staff are educated on ethical and responsible AI practices. More than half of the signatories have also committed to additional measures, including ensuring human oversight and transparently labeling AI-generated content. This Pact is part of broader EU efforts to strengthen innovation in AI, exemplified by initiatives like the AI Factories, which will support startups and industries in developing AI solutions across critical sectors. P.S: The AI Act, which took effect on August 1, 2024, outlines a phased approach for compliance, with full application expected in two years. #EUAIPact #AI #ArtificialIntelligence #TrustworthyAI #Innovation #EthicalAI #HumanOversight #AICompliance #TechForGood #EULeadership #AIEthics #DigitalTransformation #AIGovernance #ResponsibleAI #FutureOfWork

As we stand on the brink of a new era in technology, the EU AI Act is set to redefine the landscape of artificial intelligence in ways we are only beginning to understand. This legislation aims to create a framework that ensures AI systems are safe, ethical, and respect fundamental rights. For many businesses, especially small to mid-sized ones, this could mean a significant shift in how they approach AI integration. The Act categorizes AI applications based on risk levels, which will require organizations to evaluate their AI tools and processes more rigorously than ever before. From my perspective, this is not just a regulatory hurdle; it’s an opportunity for innovation. Companies that proactively adapt to these regulations can position themselves as leaders in responsible AI usage. By embracing transparency and accountability, they can build trust with their customers and stakeholders, which is invaluable in today’s market. Moreover, the emphasis on ethical AI practices aligns perfectly with the growing consumer demand for responsible technology. Businesses that prioritize ethical considerations in their AI strategies will not only comply with regulations but also gain a competitive edge. View the Act not as a constraint, but as a catalyst for growth and improvement. What are your thoughts on the EU AI Act? How do you see it impacting your business or industry? #AI #Innovation #Technology #AIAct #EUAIAct

🚀 EU AI Act Takes Effect: How to Navigate the New Landscape for Your Business The European AI Act, effective as of August 1, 2024, is setting a global benchmark for safe and ethical AI practices. This framework aims to protect users, encourage innovation, and boost confidence in "AI Made in Europe." 🌍🤖 🔎 Navigating the AI Act: What You Need to Know Here's what to keep in mind when implementing AI solutions: 1️⃣ What you must do: Comply with transparency and safety standards, ensuring your AI systems meet the Act’s requirements. 2️⃣ What you must not do: Avoid using manipulative or deceptive AI systems that could compromise user trust. 3️⃣ What you want to do: Focus on harnessing AI's potential to create real value, driving innovation while staying aligned with regulatory guidelines. 🗓 Key Deadlines for Compliance: • November 𝟭, 𝟮𝟬𝟮𝟰: Ban on manipulative AI systems. • November 𝟭, 𝟮𝟬𝟮𝟱: New rules for general-purpose AI. • November 𝟭, 𝟮𝟬𝟮𝟲: Mandatory assessments for high-risk AI applications. • 𝗙𝗿𝗼𝗺 𝟮𝟬𝟮𝟳: Certification requirements for AI in third-party products. 👉 Take Action Now: Join our AI Governance Workshop to get practical insights on implementing these new standards efficiently. Secure your spot and future-proof your AI strategy! 💼🔧 ➡ Connect with our expert Wiebke Apitzsch, Rutger Boels to learn more. #AIAct #ArtificialIntelligence #AICompliance #Innovation #AIImplementation #TrustworthyAI #AIRegulation #FutureOfTech

The Open Source Initiative (OSI) has just released the Open Source AI Definition (OSAID) 1.0. OSAID 1.0 Key Points: - Code: Full source code for training and running AI systems must be available under OSI-approved licenses. - Parameters: Model weights and configurations must be accessible under open terms. - Data Information: Detailed descriptions of training data sources, processing methods, and availability are required. - Reproducibility: A skilled person should be able to recreate a substantially equivalent system using the provided information. Why This Matters: 1. Clarity: OSAID provides a clear, standardized definition of what constitutes "open source" in AI. 2. Transparency: It promotes greater openness in AI development, crucial for trust and scientific progress. 3. Innovation: By setting clear standards, it encourages collaborative development and knowledge sharing. 4. Accountability: The definition helps combat "openwashing" and sets a benchmark for genuine openness in AI. 5. Regulatory Guidance: It offers a valuable reference point for policymakers crafting AI regulations. OSAID 1.0 marks a significant step towards fostering a more open, collaborative, and accountable AI ecosystem. What impact do you think this will have on AI development and regulation? #OpenSourceAI #OSAID #AITransparency #Innovation

The updated National AI Strategy aims to strengthen Ireland’s position as an international leader in artificial intelligence, focused on the needs of businesses, public services, and, above all, people. It emphasizes the development, adoption, and use of trustworthy, people-centered AI. Do you have information or links to similar AI strategies in other European countries so that a comparison and analysis can be conducted?

𝐊𝐞𝐲 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭𝐬 𝐢𝐧 𝐉𝐮𝐥𝐲 𝟐𝟎𝟐𝟒 The AI landscape is witnessing significant regulatory and industry moves this month. Here are the key developments: 𝐄𝐔 𝐀𝐈 𝐀𝐜𝐭:  The final text of the EU AI Act was published on July 12, 2024, setting harmonized rules for AI across Europe. The Act will be implemented in stages, starting from August 2024. This comprehensive regulation aims to ensure the safe and ethical development and deployment of AI systems. 𝐔𝐊 𝐀𝐈 𝐁𝐢𝐥𝐥: The new UK Labour Government plans to introduce specific AI regulations, focusing on powerful AI models and establishing a Regulatory Innovation Office. This approach aims to balance innovation with targeted regulation, promoting the development of AI while ensuring safety and ethical considerations. 𝐒𝐚𝐟𝐞 𝐒𝐮𝐩𝐞𝐫𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐈𝐧𝐜.: Ilya Sutskever, former chief scientist of OpenAI, has launched Safe Superintelligence Inc., focusing on developing safe superintelligent AI systems. This new venture underscores the growing importance of AI safety and the need for dedicated efforts to ensure the responsible development of advanced AI technologies. 𝐅𝐮𝐭𝐮𝐫𝐞 𝐎𝐮𝐭𝐥𝐨𝐨𝐤 The implementation of the EU AI Act and the UK's targeted AI regulations will significantly shape the AI landscape in the coming years. These regulatory frameworks aim to address the ethical and safety concerns associated with AI, ensuring that the technology is developed and deployed responsibly. The launch of Safe Superintelligence Inc. highlights the industry's increasing focus on AI safety. As AI technologies continue to advance, dedicated efforts to ensure their safe and ethical use will be crucial. #AI #Regulation #Innovation #Technology #EU #AIACT #UK #AIBILL Videosource: https://lnkd.in/g2mixS6k

The National AI Strategy Refresh envisions Ireland as an international leader in AI that will benefit businesses, public services, and—most importantly—people through people-centred, trustworthy AI development, adoption, and use. Some of the new measures include: 🔰 establishing an AI regulatory sandbox to foster innovation in AI 🔰 creating a National AI Research Nexus with a unified identity 🔰 creating a safe space where civil and public servants to experiment with AI 🔰 commissioning a landmark study on the potential impacts of AI and other advanced tech on key sectors of the Irish economy 🔰 updating study on AI skills of the Expert Group on Future Skills Needs 🔰 expanding the range of digital upskilling and reskilling initiatives Department of Enterprise, Trade and Employment #ai #artificialintelligence #generativeai #LLMs #data #datainfrastructure #aiskills #disgitaldisruption #airisks #futureofwork #digitaltransformation #businessmodelinnovation #govtech #publicsector #government #emtech

🌍 The World’s First AI Regulation Act Is Finally Here! 🌍 The European Union has made history by enacting the EU Artificial Intelligence Act, becoming the first region in the world to implement comprehensive regulations on AI. This groundbreaking legislation sets a new standard for how AI systems are developed, deployed, and governed. Key Highlights of the EU AI Act: • Risk-Based Classification: AI systems are now classified based on the level of risk they pose, ensuring that higher-risk systems receive more stringent oversight. • Human Oversight & Explainability: Prioritizes human involvement in decision-making and ensures AI systems are explainable and understandable. • High-Quality Data: Emphasizes the need for high-quality, unbiased data to train AI systems. • Transparency & Accountability: Introduces strict obligations for transparency and robust accountability mechanisms. The EU AI Act is not just a milestone for Europe—it’s a global benchmark that is likely to influence AI regulations worldwide. As AI continues to evolve, this act represents a crucial step toward ensuring that AI technologies are developed and used responsibly, ethically, and safely. #AI #ArtificialIntelligence #Regulation #EULaw #TechPolicy #Innovation #AIethics #Transparency #EUAIAct #GlobalStandards

The European Union has established itself as a frontrunner in shaping the future of Artificial Intelligence with the EU AI Act. This groundbreaking legislation, the first of its kind globally, introduces a comprehensive legal framework for AI development and deployment. Key takeaways for leaders: * Prioritize responsible AI: The EU AI Act emphasizes the importance of developing and deploying AI systems that are safe, transparent, fair, and accountable. Leaders must embed these principles throughout the AI lifecycle, from design to implementation. *Embrace risk management: The Act categorizes AI systems based on risk levels, with stricter requirements for high-risk applications. Leaders need to proactively assess and mitigate potential risks associated with their AI initiatives. *Foster human oversight: The EU AI Act underscores the crucial role of human oversight in AI systems. Leaders should ensure clear lines of responsibility and human control mechanisms to prevent unintended consequences and maintain public trust. Key takeaways for practitioners: *Understand the risk framework: Familiarity with the Act's risk classification system and its associated requirements is crucial for practitioners involved in developing and deploying AI systems. *Focus on data governance: The Act emphasizes robust data governance practices to ensure data quality, fairness, and security. Practitioners need to implement robust data collection, storage, and usage procedures. *Build explainable AI: The Act promotes transparency and explainability in AI decision-making. Practitioners should invest in developing AI systems that can explain their reasoning and outcomes clearly and understandably. The EU AI Act presents both challenges and opportunities for leaders and practitioners in the AI landscape. By embracing its principles and adhering to its requirements, organizations can contribute to fostering responsible and trustworthy AI development that benefits society as a whole. #AI #ArtificialIntelligence #Technology #Regulation #Europe #Innovation #Ethics https://lnkd.in/g7a_Z8nH