Shilpi Agarwal

Vinod Khosla's TED Talk on "12 Predictions for the Future of Technology" is a must-watch for anyone interested in the potential of emerging technologies to transform our world. As a renowned venture capitalist and technology optimist, Vinod Khosla outlines a bold, exciting, and thought-provoking vision. Some of the key takeaways that resonated with me: - Thanks to AI, Expertise will become nearly free and widely accessible. Khosla envisions a world where everyone can access virtual doctors, tutors, and experts across domains at minimal cost. This democratization of knowledge could be genuinely transformative. - Labor will be largely automated, with billions of robots doing more work than all human labor today. While daunting, Khosla argues that if handled with empathy and proper redistribution, this will free humanity from servitude and create abundance. - Computers will become ubiquitous utilities that adapt to humans rather than vice versa. His vision of a seamless human-computer interaction is powerful. - Breakthroughs are coming in medicine (preventative healthcare), food production (alternative proteins), transportation (autonomous transit), energy (fusion power), and carbon solutions. Khosla makes a compelling case for these advancements. I admire Vinod Khosla's willingness to dream big and challenge conventional wisdom. He states that experts often fail to anticipate radical progress because "they don't think of the improbable." His call for more "foolish" entrepreneurial thinking to make the implausible possible is inspiring. While not all of Vinod Khosla's predictions may come to fruition, his talk gets you thinking expansively about the potential for technology to reshape our world in unique ways. I highly recommend watching it and allowing it to expand your perspective on what's possible. #TedTalk #AI #Futureishere https://lnkd.in/dXVy4YD4

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Explore AI agents and their capabilities, from what they are to real-world applications in this new virtual, live training from Ai+–Free with an Ai+ paid subscription. Signup Now. https://hubs.li/Q02BNkrQ0

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𝐔.𝐒. 𝐋𝐞𝐚𝐝𝐬 𝐆𝐥𝐨𝐛𝐚𝐥 𝐀𝐈 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: 𝐀 𝐍𝐞𝐰 𝐄𝐫𝐚 𝐨𝐟 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 In a groundbreaking move, the 𝐔.𝐒. 𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭 𝐨𝐟 𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 and the 𝐔.𝐒. 𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭 𝐨𝐟 𝐒𝐭𝐚𝐭𝐞 have launched an international initiative to foster collaboration in 𝐀𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞. This ambitious effort aims to establish a framework for global cooperation, setting the stage for a new era of AI innovation. At the heart of this initiative is the creation of 𝐠𝐥𝐨𝐛𝐚𝐥 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐟𝐨𝐫 𝐀𝐈 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞. These standards emphasize 𝐭𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲, 𝐚𝐜𝐜𝐨𝐮𝐧𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐟𝐚𝐢𝐫𝐧𝐞𝐬𝐬, ensuring that AI systems are developed ethically and responsibly. By setting these principles, the U.S. aims to lead the charge in creating a trustworthy AI ecosystem. The economic and security benefits of this collaboration are immense. By driving innovation in AI technologies, the initiative is poised to boost economic growth. Moreover, it addresses critical security challenges, ensuring that AI systems are not only innovative but also 𝐬𝐞𝐜𝐮𝐫𝐞 𝐚𝐧𝐝 𝐫𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐭. This initiative opens up a world of opportunities for 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬, 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐩𝐨𝐥𝐢𝐜𝐲𝐦𝐚𝐤𝐞𝐫𝐬. It invites stakeholders to actively participate in shaping international AI policies and standards, ensuring that diverse voices contribute to the future of AI. Through this initiative, the U.S. reaffirms its commitment to being at the forefront of AI innovation, while prioritizing responsible and ethical development. This marks a significant step towards a collaborative and secure AI future. More details: https://lnkd.in/dCkThaSQ #AI #responsibleAI 𝘛𝘩𝘪𝘴 𝘱𝘰𝘴𝘵 𝘸𝘢𝘴 𝘸𝘳𝘪𝘵𝘵𝘦𝘯 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘩𝘦𝘭𝘱 𝘰𝘧 3 𝘤𝘰𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘯𝘨 𝘔𝘪𝘤𝘳𝘰𝘴𝘰𝘧𝘵 𝘈𝘻𝘶𝘳𝘦 𝘖𝘱𝘦𝘯𝘈𝘐 𝘴𝘦𝘳𝘷𝘪𝘤𝘦 𝘢𝘨𝘦𝘯𝘵𝘴. 𝘈𝘐 𝘤𝘢𝘯 𝘮𝘢𝘬𝘦 𝘮𝘪𝘴𝘵𝘢𝘬𝘦𝘴, 𝘴𝘰 𝘱𝘭𝘦𝘢𝘴𝘦 𝘷𝘦𝘳𝘪𝘧𝘺 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘣𝘦𝘧𝘰𝘳𝘦 𝘶𝘴𝘪𝘯𝘨 𝘪𝘵.

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🚀 Announcing the Boston Generative AI Meetup on September 12th at the Microsoft NERD Center 🚀 We’re thrilled to bring you the next edition of the largest generative AI meetup on Earth, right here in Cambridge, MA, USA. Join us for an evening packed with cutting-edge discussions, invaluable networking opportunities, and deep insights into the ever-evolving world of generative AI. Our first confirmed speaker is none other than 👋 Clement Cazalot, Co-Founder and CEO of Machinery Partner. Clement is a visionary leader and entrepreneur, renowned for his innovative approach to defining and creating value in new markets. Clement has a rich background in entrepreneurship and investment, with an impressive track record as an angel investor and board observer, contributing to the success of numerous startups. In fact, one of his startup's technologies was deployed in 99.9% of Fortune 1000 companies. His previous experience includes leadership roles at Techstars Boston. He has also helped Everyday Life Insurance, Phoenix Tailings, Brio Systems, Meenta Inc., AceUp, UptimeHealth, and KAPSUL. Clement holds a Master of Science (MSc) in Intelligence and Innovation from Aix-Marseille University and a Master of Business Administration (MBA) in Entrepreneurship from KEDGE Business School. Clem's experience and passion for innovation and dedication to empowering the next generation of entrepreneurs make him a sought-after mentor and thought leader in the tech and industrial sectors - and we are glad to have him share his wisdom at the meetup. And that's just the beginning. With more exciting speakers to be announced soon, you won’t want to miss out on this opportunity to connect with the brightest minds in AI and explore the latest advancements in the field. Spaces are limited, so be sure to RSVP in the comments now to secure your spot! A special thank you to our sponsor and community partner Microsoft for helping to make this event possible. Stay tuned for more updates on our speaker lineup and event details. Let’s make this another unforgettable evening of innovation and inspiration! 🌐💡✨ #generativeai #boston #meetup #tech #ai #ml #data

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Informative discussion this week on a panel with Sri Mruthik Chris Sullivan & Anant R Adya on scaling AI This article provides an overview of AI adoption across industries… “The who, what, and where of AI adoption in America - artificial intelligence is being adopted unevenly in the U.S., with use clustered in large companies and industries such as manufacturing and health care” #InfosysCobalt #InfosysTopaz #EnterpriseAI

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#AI is Running Large Scale Experiments on Humans How is it we have to take survey questionnaires through a rigorous review process and drugs have extensive trials that take 10-15 years before they can come to market but technology with far-reaching and unknown impacts like AI can be introduced without any external assessment? Does that strike you as strange? It does me. https://lnkd.in/erbPvD4s

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Harvard’s Kennedy School Shorenstein’s Center released a document that can help make AI systems more transparent. The report introduces the CLeAR (Comparable, Legible, Actionable, and Robust) Documentation Framework that outlines important guiding principles for AI documentation. This is could be an important strategy for helping to address the problem of AI systems’ perceptions as “black boxes,” where people don’t fully understand how their algorithms work or the origins of their data sources. Note that the document is only a discussion paper, but it still highlights some interesting concepts.

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Here's some exciting news in EdTech! Seattle Public Schools has begun implementing AI software from MagicSchool AI to revolutionize the learning experience. I've been watching MagicSchool AI and AI developments in the education space for a while and this looks to be a larger scale evaluation. What this tool does is assist teachers in creating personalized lesson plans and provides feedback. As we are new to the introduction of this type of tech in education, let's see how this plays out and how we can both empower teachers with additional tech as well as teach students how to use tech responsibly. #artificialintelligence #startups #productmanagement #edtech #technology https://lnkd.in/ghNcrk2j

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Is NIH syndrome and fear of AI resulting in sabotage? This research from 2022 confirms empirical evidence of sabotage, which we also found during the previous decade in dozens of engagements, despite offering a system that prioritizes employee empowerment. The NIHS problem in EAI has undoubtedly become much worse since LLM chatbots have scaled -- even at senior levels. It raises serious questions about how CEOs and boards should approach AI, and should also influence what type of systems are adopted.

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Join us for our next seminar with Besa H. Bauta, PhD, MPH, MSW of New York University! https://lnkd.in/epdMUHmN This presentation explores the critical aspects of Responsible AI Governance, focusing on ethical considerations, bias mitigation strategies, and the importance of explainability in AI systems. It delves into the challenges of ensuring fairness and transparency in algorithmic decision-making processes, emphasizing the need for robust governance frameworks. By examining real-world examples and emerging best practices, this talk aims to equip audiences with insights to navigate the complex landscape of AI ethics and governance effectively. Dr. Besa Bauta is a Chief Information Officer known for her outstanding leadership in technology infrastructure and cybersecurity. She has made significant contributions to organizations such as JBFCS and the State of Texas DFPS. Dr. Bauta possesses extensive expertise in data management and analytics within the healthcare sector, and is internationally recognized for her proficiency in AI and healthcare. Currently, her research is centered on enhancing data processes and upholding ethical standards in the implementation of AI. Specifically, she is investigating error rates and the occurrence of hallucinogenic behavior in algorithmic systems.

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Now out in arXiv from MIT-CQE member Anand Natarajan and co-authors “Succinct arguments for QMA from standard assumptions via compiled nonlocal games” by Tony Metger, Anand Natarajan, and Tina Zhang Read more: https://lnkd.in/ejeb5ESn #quantum #quantumcomputing #quantumphysics #quantumtechnology #quantumtechnologies #quantumtech #quantumcomputers #quantumcomputer #superconducting  

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I recently spoke at NDIA's Emerging Technology Institute about Trustworthy AI, covering the fundamentals of responsible AI practices, the dangers of over-trust and mistrust, risks of synthetic media, and challenges of explainability. Watch the video here: #AI #EthicalAI #TrustworthyAI #Innovation #TechTalk #trustworthyai #ai #usertrust #AIEthics #AIResearch #AIInnovation #ArtificialIntelligence #responsibleAI #dod

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Register Now! We invite you to register to attend the upcoming AI Institute event: Designing for Responsible AI by reducing online toxicity & harassment by Nitesh / Tesh Goyal, PhD. https://lnkd.in/gypveXg6 Online harassment is a significant societal challenge affecting diverse communities. Certain groups, such as female journalists and activists, face a disproportionate impact due to their need for accessibility, transparency, and their role in exposing injustices. In a case study approach, Tesh will discuss responsible AI using, Specialized Rater Pools: Enhancing the human-in-the-loop process to improve the accuracy of toxicity classification in ML models. Harassment Manager: A collaborative tool developed with civil society and social media platforms to empower individuals targeted by online harassment. Authorship Feedback: A method to encourage self-reflection among perpetrators of harassment. #responsibleAI #machinelanguage #AI

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Now in English! How will AI influence digital accessibility? It's something I think about a lot but especially now, with the Paralympic Games going on, I thought it might be a good time to contribute to the conversation. I don't have all the answers but spoiler alert - AI will not magically make the digital space accessible without humans putting in some hard work too! I hope you'll find the article interesting and would be glad to hear your opinions.

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Scaling AI frontiers requires more than concepts; it needs strategic implementation. This article's insights highlight essential factors like optimizing infrastructure, controlling costs, securing data, and aligning AI initiatives with business goals. This read is necessary if you want to understand how to move your AI projects from pilot to operational excellence! I'd like to join you in exploring practical strategies for deploying Generative AI effectively. Read the full article here: https://lnkd.in/dksjyz4V #Course5i #LLM #GenerativeAI #GenAI

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