Cooley LLP’s Post

To support the effective, safe and ethical use of generative AI, Fivetran COO and co-founder Taylor Brown asserts that enterprise success starts with a solid foundation of high-quality data underpinned by governance. Learn more in Forbes.

To support the effective, safe and ethical use of generative AI, Fivetran COO and co-founder Taylor Brown asserts that enterprise success starts with a solid foundation of high-quality data underpinned by governance. Learn more in Forbes.

Ethics, a quite ignored topic on many forums outweighed by the benefits of ML and AI. An interesting topic that I ran into a discussion with a colleague was on how algorithms can generate an unintentional bias on a neutral training data and development. Do you think that AI needs to be monitored when given into human hands? 🤔 #ai #ethicsandai #machinelearning #algorithms

AI Academy – Episode 4. Learn about the risks associated with generative #AI, and how to responsibly develop, train and deploy trustworthy AI across your organization. #genai #education

To support the effective, safe and ethical use of generative AI, Fivetran COO and co-founder Taylor Brown asserts that enterprise success starts with a solid foundation of high-quality data underpinned by governance. Learn more in Forbes.

To support the effective, safe and ethical use of generative AI, Fivetran COO and co-founder Taylor Brown asserts that enterprise success starts with a solid foundation of high-quality data underpinned by governance.

Dive into the future of data with our white paper on synthetic data and AI models. Download now! ➡️ https://lnkd.in/eicQ-K3H #SyntheticData #AI

This EU deal represents a proactive approach to balancing the benefits of AI with the need for ethical and responsible controls, acknowledging that while AI is indeed terrific for mankind, appropriate regulations are necessary to mitigate its risks

Good to see that long pending regulation on AI is addressed now

🌐 Exciting Developments in Responsible Generative AI! 🤖✨ This latest article delves into the imperative need for Responsible Development and Release of Generative AI. As these technologies rapidly evolve, it's crucial for stakeholders to unite in fostering accountable and inclusive processes. Here are some key takeaways: 📚 Establish Precise Terminology (01): Let's create a shared language to discuss generative AI, enhancing clarity and effective communication. Consistent adoption is key for standards and guidelines. 🌐 Build Public Awareness (02): Prioritize educating the public about AI capabilities and limitations. Clear communication ensures realistic expectations, fostering trust. 🤝 Focus on Human Values (03) & Encourage Alignment (04): Aligning AI with human values requires engaging developers in discussions about normative values. Inclusivity and diverse feedback are crucial for AI alignment. 📏 Uphold AI Accountability (05): Commit to rigorous benchmarking and testing, exploring new metrics for a comprehensive evaluation of generative AI models. 🚨 Transparent Release Strategies (07) & User Empowerment (08): Hold AI producers accountable for responsible releases, empower users with feedback controls, and ensure transparency in content generation. 🔍 Traceability (09 & 10): Emphasize model and content traceability, differentiating between human and AI-generated content for transparency and accountability. 🌐 Global Collaboration (20 & 21): Foster international collaboration on AI standards and establish a global AI governance initiative for harmonized responses. 💡 Social Progress (22 - 29): Prioritize social progress, drive AI literacy, incentivize innovation for social good, address disparities, and promote equitable AI access, while preserving cultural heritage. Join the movement toward responsible generative AI development! Read the full article for detailed insights and recommendations. Let's shape a future where AI aligns with human values, fosters societal progress, and promotes inclusivity. 🌍💻 #airesponsibility #generativeai #techethics #innovationforgood