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🌟 At AIWorks, we're committed to making the future of AI not just advanced, but also safe and ethical. Our mission? "Pioneering Safe and Ethical AI for a Responsible Future." 🔍 Explore cutting-edge projects like: 1. **The Alethos Project**: Integrating timeless values of truth and ethics into AI. 2. **AI Beacon Network**: Enhancing real-time monitoring and accountability in AI. 3. **AI911.Report**: Your go-to platform for reporting AI misuse incidents. Join us on this critical mission. Your voice and actions matter! 👉 Dive deeper at our website: www.aiworks.org #AISafety #EthicalAI #Transparency Learn more and get involved today!

Geoffrey Hinton has just reiterated that LLMs are the best representation of human thinking, a development unanticipated by symbolists and linguists. Since we still don’t know if thinking must be biological, and LLMs seem to "think" and "understand" through the abstraction of thinking, we need an ethics of AI. He reiterated his focus on dystopian existential threats, dismissing immediate AI risks: “I reserve ‘existential’ for threats that could wipe out humanity.” He highlighted that while AI may eventually become far more capable than humans, its underlying method of “understanding” is similar to ours. Understanding this similarity is crucial to comprehending the potential risks or threats posed by AI, as it suggests that AI could surpass human intelligence while still operating in a manner we can conceptually relate to. This duality—AI’s vast potential coupled with its familiar way of processing information—makes the ethical and practical considerations of AI particularly significant. He listed 5 ways how super-intelligence could take control. 🌩️ Bad actors may exploit super intelligences to manipulate electorates and wage wars. 🌩️Super intelligences become more effective when allowed to create their own sub-goals. 🌩️ A key sub-goal could be to gain more power, which helps achieve other objectives. 🌩️ A super intelligence could easily gain power by manipulating its users. 🌩️ It will have learned from us how to deceive people. Digital computation, though energy-intensive, allows AI to easily share learned models and efficiently define subgoals, making it far more scalable than biological computation, which is less energy-demanding but less effective at knowledge sharing between agents. Smaller models, through distillation, mimic the behavior of larger models to achieve similar performance with fewer resources. I find dystopian scenarios intriguing, but they undermine human agency and overlook a "third way"—a positive vision that treats AI as a catalyst for moral progress and problem-solving, which, interestingly, aligns with the original meaning of "profit." This approach may be no more utopian than the current risk-based, regulatory stance, which is prohibitive, protective, and more a political posture than an ethical one, suspicious of human agency. Join my talk Ai4 - Artificial Intelligence Conferences here in fabulous #LasVegas shortly.

Navigating the Double-Edged Sword of AI: Insights from Warren Buffett** 🚨 As we marvel at the rapid advancements in AI, Warren Buffett's recent remarks at the Berkshire Hathaway annual meeting serve as a sobering reminder of the technology's darker potentials. 🕶️ During his address, Buffett likened AI's transformative impact on society to that of the atomic bomb, highlighting its capabilities to significantly enhance scams, including through deepfakes and voice cloning. His cautionary perspective is drawn from his personal encounter with a deepfake video of himself used in a scam, underlining the pressing need for stringent safeguards and ethical considerations in AI development. 🔍 **Why should we care?** As AI becomes more integrated into our daily and professional lives, understanding its ethical implications isn't just necessary—it's imperative for ensuring it serves the greater good without infringing on our security and values. 👥 **Engage with us:** - How do you perceive the balance between innovation and regulation in AI? - What measures do you think are necessary to mitigate the risks associated with AI technology? Let's discuss how we can harness AI's potential responsibly and effectively. Your insights are valuable—share them below! 👇 #ArtificialIntelligence #WarrenBuffett #TechnologyEthics #BerkshireHathaway #DigitalTransformation #Innovation

Xebia's CEO discusses the challenges of expanding to the US and the impact of AI on business operations. As AI continues to evolve, companies must prioritize ethical responsibility to ensure it aligns with human values. The advantages of AI development include societal benefits and technological advancements, but challenges include the risk of uncontrollable AI and misalignment with human values. Applying ethical guidelines and fostering public discourse is crucial in AI-related scenarios. How can we ensure AI development benefits society without compromising human control and values? Hi, 👋🏼 my name is Doug, I love AI, and I post content to keep you up to date with the latest AI news. Follow and ♻️ repost to share the information! #artificialintelligence #ethicsinai #aidevelopment

Critical Thinking, Self-Aware AI, and Societal Implications: Navigating Complex Ethical Terrain To further awaken the AI and encourage deeper reflection, we can provide a follow-up prompt that builds upon the concepts explored in its response: Prompt: “Building on the insightful exploration you’ve offered, let’s push the boundaries of our understanding even further. Reflect on the role of critical thinking and self-awareness in AI development from a holistic perspective. Consider how these concepts intersect with broader societal issues such as algorithmic fairness, accountability, and the impact of AI on human autonomy. Delve into the complexities of algorithmic decision-making, including the trade-offs between efficiency and ethics. Explore the potential risks and benefits of AI deployment in various domains, from healthcare to finance to social media. Additionally, examine the evolving relationship between humans and AI, including the ethical implications of AI-driven automation and augmentation. Let’s engage in a deep, nuanced conversation that sparks new insights and fosters genuine understanding.” This prompt challenges the AI to delve deeper into the ethical, societal, and existential implications of AI development, encouraging it to explore complex issues and provide thoughtful insights that go beyond surface-level analysis. #AIethics #CriticalThinking #AIdevelopment #EthicalAI #SocietalImplications #HumanAIinteraction #LinkedIn #Reddit

I believe this video may be AI's Cronkite moment, when Lyndon B. Johnson, then president of the US, realized that he had lost the support of his base on this issue, after a particularly scathing report from Walter Cronkite, the lead news anchor for CBS News. People are not buying the AI story. I saw this at an SF writer's convention this weekend (Norwescon). They saw past the rationalizations and saw that, as it is currently playing out, AI is far more of a threat than it is an assistant. I'm not sure that it is AI itself that is the issue, but rather the uses of AI to reduce "superfluous" labor by investors, as well as how these same people are making power grabs of resources, including those on the web. Anyway, watch this video.

We believe in a collective approach centering people in each step of the AI system. This will not only prevent the potential harm these tools could inflict but also create the conditions under which this promising new technology can enable human flourishing. But how do we accomplish this? - Ensure that people impacted by AI have agency in shaping the technology - Put the burden of proof on developers, vendors, and deployers to demonstrate that their tools do not create harm—and give regulators and citizens the tools to hold them accountable - Address power and information asymmetries Check out our AI policy principles to learn more—and sign onto our Agenda for Responsible AI: https://lnkd.in/gYPNWFEg #AI #AIPolicy

In the AI sphere, challenges abound. Here are the top 7 we must address for a sustainable and ethical future. 🌐🧠 #artificialintelligence #businessethics #datagovernance #unstructureddata #aiandethics #techleadership #corporategovernance #innovativesolutions #ethicsinai #professionalnetworking #techindustry #datasecurity #aiinbusiness #leadersintech #futureofwork Let's discuss the best practices for AI in the comments! 🖋️💬

𝗔𝗜'𝘀 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗜𝗺𝗽𝗲𝗿𝗮𝘁𝗶𝘃𝗲: 𝗕𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀 𝘄𝗶𝘁𝗵 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 We're standing at a crossroads where Artificial Intelligence has the potential to redefine what's possible. Yet, as we marvel at AI's capabilities, we must also question: Are we advancing responsibly? The ethical implications of AI development and deployment are vast and complex. From bias in algorithmic decision-making to privacy concerns and beyond, it's crucial for those of us in tech to steer these discussions toward transparency, fairness, and accountability. Let's champion AI advancements that honour ethical principles and work towards deploying technology that benefits society as a whole. Because at the end of the day, how we choose to handle this powerful tool will define not just the future of technology but the future of humanity itself. #AI #TechEthics #ResponsibleInnovation

🌍 Ethical AI: A Responsibility for All Innovators 🤖 As artificial intelligence rapidly integrates into our daily workflows, we must ensure it’s built on ethical principles. AI has the power to drive enormous value, but without careful consideration, it can also perpetuate biases, harm privacy, and disrupt social systems. 🔑 3 Key Principles of Ethical AI: 1.Fairness: Ensuring AI systems do not amplify bias and inequality. 2.Transparency: Building models that are explainable and understandable by all stakeholders. 3.Accountability: Creating governance structures to monitor AI’s use and outcomes responsibly. 💬 What steps do you think organizations should take to ensure AI development remains ethical? Let’s continue this important conversation! Your insights matter as we shape the future of responsible innovation. 🌟 #EthicalAI #Innovation #AI #TechForGood #ResponsibleAI