This is a helpful guide to AI architects in thinking about scalability, capability and responsible use of LLM enabled systems.
Gary Givental’s Post
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The fundamentals of IT will shift though as IT's new broker role becomes the more appropriate concept as Autonomous AI Agents become mainstream. In other words, the entire strategic context and governance concepts we have felt the need to implement will be simply programmed into the machines' DNA, hard to do with irrational humans.
Another great article on the importance of well established technology management disciplines for AI success. Thank you Andi Mann
Prioritizing AI? Don't shortchange IT fundamentals
cio.com
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How does Anthropic’s Responsible Scaling Policy (RSP) align with the EU AI Act? The obligations for a General Purpose AI model (Claude 3) are set out under Article 53 of the AI Act. Here’s how Anthropic’s RSP lines up: 1. Technical Documentation • AI Act: Keep technical documentation available for examination by the EU AI Office. • RSP: Publishes model cards detailing capabilities, limitations, evaluations, and use cases (page 6). 2. Documentation for Providers • AI Act: Maintain documentation for providers integrating AI models, balancing transparency and IP protection. • RSP: Partners must adhere to Anthropic’s safety protocols, ensuring responsible scaling and safety measures (page 10). 3. Summary of Training Data • AI Act: Publish a summary of AI model training data using the AI Office’s template. • RSP: Shares evaluation results and includes training data summaries in model cards where possible (pages 6 and 11). But: 4. The AI Act mandates that General Purpose AI models respect EU copyright law. More on the EU text and data mining exception for General Purpose AI models to come. #AICompliance #TechPolicy #ResponsibleAI #AIAct #AnthropicAI
Anthropic’s Responsible Scaling Policy (RSP) is a series of technical and organizational protocols designed to help manage the risks of developing increasingly capable AI systems. It is similar in intent to OpenAI’s Preparedness Framework. On the surface, the RSP has similarities with the EU’s new AI Act: both adopt a tiered, risk-based classification scheme with increasingly stringent safeguards based on risk-level, and both purport to balance minimizing risk with incentivizing responsible development of AI systems. While the policy could benefit from further iteration, Anthropic’s RSP should harmonize well with burgeoning AI regulation as the company looks to expand into the EU.
Anthropic's Responsible Scaling Policy
anthropic.com
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Article in Forbes about the upcoming era of AI agents in business: https://lnkd.in/gUbayTpq We've created the first "Environmental AI Agent" (www.enviro.ai). Automating permit applications, modeling, and various environmental compliance and management tasks is the design-build of this tool. To book a demo, see www.enviro.ai.
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🔍 Navigating TNFD with AI in Nature Strategy In the face of planetary challenges, AI offers promising solutions for understanding and managing nature-related risks. But, as Genevieve Patenaude, PhD (Oxon) points out, trust and widespread adoption of AI in this field depend on overcoming barriers like commercial data silos and reproducibility issues. In this new blog, she shares practical recommendations to help organisations make the most of AI’s potential and meet TNFD standards—starting with open data, current tools, and robust standards. 📘 Read the full article to learn how AI can elevate nature risk management: https://lnkd.in/ew4Gk__8 #Sustainability #AIinNature #TNFD #RiskManagement #OpenData
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Just wrapped up an awesome 12-week AI Safety course by BlueDot Impact, and wow, what a ride! You know how fast AI is moving, right? Well, this course was like strapping on a jetpack to keep up. We dove deep into AI safety, and I even got to work on a cool project - creating a methodology to evaluate trustworthy AI vendors. Trust me, it's trickier than it sounds! Shout out to Gordon Vala-Webb for being an amazing guide through this journey. And my fellow cohort mates? You guys rock! The chats we had were eye opening. Here's the thing - as we're out here shaping the AI world, we've got to keep safety front and center. Got any thoughts on AI safety? Or maybe you're working on something interesting in this space? Drop me a line - I'd love to geek out about it with you!
AI Safety Fundamentals: Governance Course Certificate
course.bluedot.org
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IEEE Webcast: AI Policy, Risk, and Governance Thursday June 27th 9 am - 10:30 am PDT Artificial Intelligence (AI) has become a cultural phenomenon and is now influencing every aspect and level of the tech industry from product design and development to customer support and marketing. The impact on the tech industry of AI extends well beyond the technical aspects to policy and the risk associated with the use of AI and governance. IEEE invites you to join us on Thursday, 27 June, for a 90 minute webcast on AI: Policy, Risk, and Governance, hosted at Northeastern University. To share their perspectives on AI issues, leading experts, including Russell Harrison, Managing Director of IEEE-USA, Heather Monigan, Founder of Kaleson Technologies LLC, and Gilles Fayad, Director of Initiative AI Commons will be presenting. Feel free to share this event with colleagues that may benefit from attending. Agenda 9:15 - 9:45 Congress Gets Serious about AI Congress has begun to focus on AI by introducing the CREATE AI Act. Russell Harrison, will share his insights on how he expects Congress to respond to emerging AI technology 9:45 - 10:15 Riding the AI Wave while Navigating IP Issues: An Engineer’s View Heather Monigan will focus on the surprising risks of leveraging Gen AI tools and how a company can mitigate risk, confidential information, software code, IP right infringement, and IP right ownership. 10:15 - 10:45 Building Trust in AI: Strategies for Trustworthy AI Assessment Gilles Fayad will explore the critical importance of trustworthy AI assessment, focusing on methodologies and best practices to instill confidence in AI systems. This talk will provide insights into ethical frameworks and regulatory approaches Register Today: https://lnkd.in/g7djf_bP
IEEE Webcast: AI Policy, Risk, and Governance
event.on24.com
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🌟 Dimensional Analytics at MLCON 2024: Pioneering Safe, Gen AI-Ready Data Solutions 🌟 This week, our President, Jon Bittner, presented at the Machine Learning Conference (MLCON) 2024, one of only 20 speakers selected from over 120 submissions! We’re thrilled to be at the forefront of safely and securely preparing data for generative AI applications. At Dimensional Analytics, we’re committed to enabling the safe use of generative AI, ensuring that production data is removed from development environments and sensitive information, like US Persons data, is fully protected. During MLCON, we demoed our “Ask” chatbots—designed to allow organizations to rapidly and securely deploy Gen AI solutions across their workforce while maintaining the highest standards of security and compliance. We’re proud to be leading the charge in responsible AI innovation! 🚀 #MLCON2024 #GenerativeAI #DataSecurity #ResponsibleAI #DimensionalAnalytics
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Thrilled to speak at the "How AI, Data, and NARA Mandates Will Reshape Federal Records Management Strategy" webinar next week. Join us as we reshape concepts in federal records management with AI. 🗓️ May 21 | 🕒 2:00 PM ET 🔗 Register: https://lnkd.in/eWEMwFz3 #Govtech #ArtificialIntelligence #RecordsManagement
How AI, Data, and NARA Mandates Will Reshape Federal Records Management Strategy
carahevents.carahsoft.com
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Generic, off-the-shelf models don't cut it anymore. If you want to learn how Cove can help your business deploy custom enforcement models at scale, without the need to write a single line of code, get in touch!
Generic AI models and keyword detection tools frequently fail to enforce the unique content policies of individual platforms. In this second part of the series on platform-specific policies, we explore why these methods struggle to address evolving threats and platform-specific nuances. Discover how custom AI models, tailored to a platform’s guidelines, can offer a more effective and adaptive solution.
Why Platform-Specific Policies Matter (Part 2)
getcove.com
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Data is the Fuel for AI. Data management is the top challenge in organizations adopting AI technologies. This panel will discuss some approaches companies have used to assist the success of AI adoption in their organizations. I am looking forward to leading the conversation with these outstanding professionals.
We're thrilled to share that Steve Daly from New Era Technology will be moderating at this year's CDO Magazine Data, AI & Security Week event! Session Details: Join industry leaders from logistics, academia, and mid-market enterprises as they share real-world insights on AI’s transformative impact. This panel will explore how AI is reshaping operations, decision-making, and strategy. Gain practical advice on identifying high-value AI use cases, overcoming integration challenges, improving data governance, and measuring ROI. Learn how AI can drive business value today and discover the innovations that will shape the future. This session is tailored for individuals seeking to leverage AI for maximum business impact. https://hubs.la/Q02QMf2j0
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