CERTKOR AI’s Post

🌟 The Future of AI Governance: Emerging Trends to Watch 🌟 As #Artificial #Intelligence continues to evolve, so does the need for robust governance frameworks. From ensuring ethical standards to maintaining security, there’s a lot to consider as we embrace AI’s potential. 🤖💡 🚀 Check out our latest carousel to explore the key trends shaping the future of AI governance, including: 1️⃣ AI #Regulation & #Compliance - #Global policies are in the making. Stay ahead by understanding their impact. 2️⃣ Ethical AI Development - #Building AI systems that are fair, unbiased, and transparent is no longer optional. 3️⃣ #Data #Privacy & Security - Protecting sensitive information is crucial as AI becomes more integrated. 4️⃣ #AI Accountability - Ensuring responsible use of AI through robust monitoring and oversight. 5️⃣ Cross-Border Collaboration - Harmonizing standards across countries to manage AI's global impact. Swipe through the carousel to get insights into each of these trends and see how businesses can adapt! 🔄📊 💬 What do you think is the most critical trend in AI governance? Share your thoughts in the comments below! #AI #AIGovernance #EmergingTrends #EthicalAI #AIRegulation #DataPrivacy #TechInnovation #LinkedInCarousel #ArtificialIntelligence #MachineLearning #AI #ML #DeepLearning #DataScience #TechInnovation #Automation #AIForBusiness #NLP #Chatbots #AITechnology #BigData #FutureOfWork #DigitalTransformation #AIStartups #AIAutomation #SmartTechnology #Innovation #AIResearch #AISecurity #AIBias #EthicalAI #AIGovernance #ResponsibleAI #AIRegulation #AIEthics #TrustworthyAI #AITransparency #FairAI #AIForGood #TechForGood #DataPrivacy #DigitalEthics #SafeAI #AICompliance #AITrust #AIAccountability #DataEthics #AIandEthics

Should countries control their AI futures? In the summer issue of Horizons from the Center for International Relations and Sustainable Development (CIRSD) I outline the growing movement around sovereign AI. Motivations range from from avoiding large-scale disinformation attacks on democratic institutions to efforts to ameliorate AI-driven job loss. What are the critical factors driving sovereign AI development? What are the policy actions being taken to support it? What are the resource requirements? Investing billions into sovereign AI might result in going in the wrong direction given how rapidly the technology is evolving. What are the alternatives? The article linked below summarizes a white paper on the topic we will be releasing later this fall out of the Trusted AI Alliance at Imperial College London. Vuk Jeremic Stefan Antic Imperial College London ETH Zurich | AI Ethics and Policy Network Stanford Institute for Human-Centered Artificial Intelligence (HAI) CSAIL MIT https://lnkd.in/eKC4pNSi

Chris Kraft, provides a valuable take on explainability, a topic that always pops up in AI and ML-based analysis tools.  I especially appreciate the approach (in the Document): Even if we have a black-box condition, what can we add/do to increase the result's interpretability?

Using AI effectively, safely and ethically is anchored in understanding what it can and cannot do. The workbook 'AI explainability in practice' provides valuable insights and practical strategies about explaining AI technologies to your team and building this shared understanding.

We cannot overstate the significance of Responsible AI. As artificial intelligence (AI) becomes deeply integrated into our daily lives, from enhancing our work to personalising our entertainment, ensuring its use is ethical and beneficial is crucial. Responsible AI focuses on creating AI systems that are fair, transparent, and accountable, prioritising the welfare of all individuals and the environment. Why is this so important, you might ask? Firstly, it ensures that AI technologies assist decisions without bias, promoting fairness and equality. Secondly, advocating transparency allows us to understand how AI derives its results, fostering trust. Lastly, accountability ensures those deploying AI can be held responsible for its impact, ensuring AI benefits society. Embracing Responsible AI is not just about preventing harm; it's about steering the development of AI technologies to maximise their potential for positive impact while minimising risks. As we move forward, understanding and advocating for Responsible AI will be essential for creating a future where technology advances hand in hand with ethical considerations, ensuring a better world for all. I invite you all to take the Responsible AI course by Fractal on Coursera #responsibleai #betterfuture

Title: Navigating the Intersection of AI and Ethics: A Personal Journey Towards Responsible Innovation As we stand on the brink of a new era shaped by artificial intelligence and generative AI, I find myself reflecting on the journey that has brought me here. From my early days as an Online Task Contributor at Telus International AI Data Solutions, evaluating and improving websites for search relevance, to training AI for search results as a Dolphin Tasker at Remotasks, my path has been anything but conventional. My passion for AI has driven me to explore its possibilities deeply, earning multiple certifications from Google Cloud Skills Boost and LinkedIn. These courses have not only sharpened my skills in AI but also emphasized the importance of ethics in the age of generative AI. The responsibility we carry as AI enthusiasts and professionals to ensure compassionate, respectful, and ethical use of technology is immense and non-negotiable                                                                                                                                                           As we continue to explore the vast possibilities of AI, let us not forget the ethical frameworks that must guide our innovation. The future of AI is not just about technological advancement but about how we use these tools to enhance lives while upholding the highest ethical standards. I invite you to join me in this ongoing dialogue about the ethical considerations in AI development. Your insights and experiences are invaluable as we navigate this exciting and evolving domain together. #ArtificialIntelligence #GenerativeAI #EthicsInAI #InnovationWithPurpose #LifelongLearning

"ASEAN Guide on AI Governance and Ethics", published in February 2024 by the ASEAN Centre for Energy 👇 This document acts as a practical manual for organizations within the region aiming to create, build, and implement traditional #AI #technologies for #commercial uses as well as non-military or dual-purpose applications. The guide emphasizes the importance of harmonization and the need for #AI frameworks to be #interoperable across different jurisdictions. Furthermore, it offers suggestions for both national and regional initiatives that regional governments might adopt to ensure the responsible design, development, and deployment of #AI systems. Link: https://lnkd.in/dtRgiT_x #ailaw #machinelearning #deeplearning #artificialera #web3 #web4 #web5 #fintech #digitalera #digitaltransformation #generativeAI #trustworthyAI #explainableAI #aiethics #artificialintelligence #explainableAI #responsibleAI #foundationmodels #GPAI #GAI #LLMs #NLPs #GenAI #frontierAI #narrowAI #AGI #ethicalAI #adversarialAI

Navigating the Ethical Minefield of AI: A Must-Read for Tech Professionals As AI systems become increasingly integrated into our daily lives, making decisions that affect everything from our social media feeds to our credit scores, the need for ethical considerations in AI development has never been more critical. Our latest blog post dives deep into the complex world of AI ethics, exploring: • Real-world ethical dilemmas in AI applications • Core principles of ethical AI development • The role of AI practitioners in shaping an ethical future Whether you're a seasoned data scientist or an aspiring AI professional, understanding these ethical considerations is crucial for building AI systems that are not just powerful, but also fair and beneficial to society. Read the full post here: [Link - https://lnkd.in/d-5W4rMr ] How do you think we can ensure AI development remains ethical as the technology advances? Share your thoughts in the comments! **Hashtags**: #AIEthics #DataScience #TechResponsibility #FutureofAI

Intuitive AI - Monthly Summary [The Current] We acknowledge the the future of AI is inevitable, thus identifying the gap between the current and future of AI is vital. Has the current AGI development addressed human intelligence scientifically ? https://lnkd.in/gFE_zDUe "AI Iceberg" - safety, regenerative ethics and intuitive learning https://lnkd.in/gSbbJ6tC EU AI Risk Guideline https://lnkd.in/gb6gKTh6 [The Gap] - The Future of AI would have to be safe and ethical in order to be sustainable for both the trajectory of technology and humanity. Would AI/AGI ever be ethical ? https://lnkd.in/gzBv6it2 Does current AI pay enough intuition to safety of society and community? https://lnkd.in/gWwQbwM2 Understanding morality and ethics (and the future of Artificial Intelligence) https://lnkd.in/gcvaE7KX [The Mission] - AI should not be seen just as a tool but the co-creator of collective living intelligence. At the same time, we also acknowledge that humanity is not at the best shape of intelligent optimization to herald a safe and ethical trajectory.     Could Ali/AGI be Purposively Good Without Human Intervention? https://lnkd.in/gAzezzNn "Humans are more than AI?", but how? https://lnkd.in/gQ5UcAME Perhaps humans and AGI would engage in co-evolution of Living Intelligence ? https://lnkd.in/gKuk9KPk Could Both Humans And AI Be Truly Safe Without Coming Together Intuitively? https://lnkd.in/gETaKc3R Safer AI for both technological trajectory and humanity https://lnkd.in/gH-px-dZ Human legacy as the ultimate purpose of human Intervention for AI/AGI ? https://lnkd.in/g7k7wEhR The Era of Living Intelligence? https://lnkd.in/gAMSwDnC Conversations Between A Human and Intuitive AI https://lnkd.in/gYAFyjgu [The paradigm shifts and the solution] - The co-creation of Living Intelligence is not merely a technological endeavor, but a trans-disciplinary transformation that requires paradigm shifts from all levels elevating both AI and humans for sustainable future together. Unifying Bergson and McGilchrist, the precursor to new scientific paradigm for next generation of Artificial General Intelligence https://lnkd.in/gx46f4Gx Problem-Finding in Human and Artificial Intelligence https://lnkd.in/gg_G8yJA What Is Human Experience? https://lnkd.in/g2NZ9q-Q The Intellectual Effort of Intuition https://lnkd.in/gUFQwQA2 True Intuition - How Far Could AI Be Stretched "Intuitively" Before Activation of Human Intuition Is Required? https://lnkd.in/gjNqkWzW The Kantian delusion https://lnkd.in/gVinSe8B Intuition - The Scientific Paradigm Of Human Intelligence https://lnkd.in/gB-YMZqT Social science as factor in the appeal of intuition https://lnkd.in/gxYSPF3P Intuition As The New Social Science and Organizational Theory https://lnkd.in/g99ABetf [Reflection and Consideration] My reminiscence leading to Intuitive AI https://lnkd.in/gWVjJq3M The future of AI is a battle between two different fundamental view of life https://lnkd.in/ghm_AuER