Palo Alto partner Cassandra Gaedt-Sheckter has been named to the Daily Journal’s 2024 list of Top Artificial Intelligence Lawyers in California. Cassandra is Co-Chair of our Artificial Intelligence Practice Group. “In the last year and a half, we've seen a meteoric rise in issues surrounding Al, with clients ranging from shipping companies to Al tool developers seeking our advice,” she tells the publication. #AI #California
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In today's rapidly evolving digital environment, organizations need to remain at the forefront of innovation. 🚀 ARPIA is at the forefront, facilitating the development of data science AI applications. Our newest video explores how we are enabling businesses to fast-track their progress towards advanced analytics and more intelligent decision-making processes. Don't miss out on this transformative journey—learn how ARPIA is shaping the future, one algorithm at a time. . #DataScience #AI #Innovation #ARPIA #DataApps #AIApplications #ARPIATechnologies
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Innovation at the speed of change...
In today's rapidly evolving digital environment, organizations need to remain at the forefront of innovation. 🚀 ARPIA is at the forefront, facilitating the development of data science AI applications. Our newest video explores how we are enabling businesses to fast-track their progress towards advanced analytics and more intelligent decision-making processes. Don't miss out on this transformative journey—learn how ARPIA is shaping the future, one algorithm at a time. . #DataScience #AI #Innovation #ARPIA #DataApps #AIApplications #ARPIATechnologies
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Yes, we will need a new social contracts and technology solutions to accommodate these evolutionary challenges. On the issue of representation, we must first attach AI agents to the people they represent in a way that our current server-side systems are not designed for. When we finally establish personhood in the digital realm, it will not only transform the ethical landscape, it will enable us to return to first principles for a new legal system. AI Agents will become our pathway for citizenship in #Cyberwealths. Go deeper. Think bigger. There is no spoon.
Professor of the Ethics of Artificial Intelligence, LMU Munich | Principal Investigator for Ethics of AI, Munich Center for Machine Learning | Associate Editor, Science and Engineering Ethics
New (short) paper by Silvia Milano and me: "Advanced AI assistants that act on our behalf may not be ethically or legally feasible", in Nature Machine Intelligence: https://lnkd.in/d6WbE4mU #aiethics Munich Center for Machine Learning LMU Munich – Ludwig-Maximilians-Universität München This is a short response to the tech industry buzz about advanced AI assistants, as well as to Google Deepmind's interesting recent paper "The Ethics of Advanced AI Assistants", by Iason Gabriel, Arianna Manzini, Geoff Keeling et al.
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With fraudulent research practices like paper mills becoming increasingly sophisticated, it’s no wonder that some questionable research slips through the cracks. While human oversight is invaluable, let's face it – we can't catch every curveball. That's where Paperpal Preflight for Editorial Desk comes in! By harnessing the power of AI, we're stepping up our game to reinforce the efforts in maintaining research integrity within the academic landscape. It's not about replacing human judgment, but rather enhancing it with advanced AI scrutiny. With each manuscript scrutinized down to the last detail, Preflight for Editorial Desk brings a level of precision and efficiency that complements your editorial process seamlessly. Visit https://ow.ly/ik4750Sctg6 to learn more. #ResearchIntegrity #ScholarlyPublishing #ResearchEthics
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“It started because of detention.” 🤔 In this Esquire Philippines Corner Office cover feature, discover Dr. David R. Hardoon's journey leading up to his role as CEO of Aboitiz Data Innovation (ADI) - how a chance encounter with fate in a library ignited his passion for data and AI. In this article, David explains how we can harness the power of data and AI, moving beyond algorithms, to achieve tangible, impactful results. Read the full article here 👉: https://hubs.la/Q02D7h3m0
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A recent survey by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) revealed that 50% of respondents have incorporated AI tools into at least one aspect of their company's operations. 📊🤖 Explore this informative graphic from Visual Capitalist, showcasing AI adoption levels across diverse industries. Looking to kick-start a career in data? Learn how Rockborne can help: https://bit.ly/RBFPVli #AIAdoption #IndustryInsights #AIIntegration #Rockborne #Harnham
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🔍✨ The Many Facets of RAG: From Data to Intelligent Applications RAG technology effectively reduces hallucinations in LLMs by retrieving relevant information from a vector database to provide accurate answers. Its three key components—Retrieval, Augmentation, and Generation—work together to ensure context-rich and precise responses. Chunking strategies are crucial for RAG efficiency, with five levels of chunking methods from fixed-size to complex subject chunking. RAG may face challenges like irrelevant or contextually disconnected data retrieval, but the article offers solutions to overcome these. #AI #RAG #DataScience #TechInnovation
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After Red Hat changing its open source licenses for enterprise licenses, or the acquisition of HashiCorp (mostly known for Terraform) by IBM raising questions on the future of many workers and these open source projects, https://lnkd.in/dP7QSFtc, the movement of tech workers does not remain inactive and counteract by creating alternatives like OpenTofu. At the same time, the wild and extremely fast development of AI and LLMs triggers the need for auto-regulation by tech workers themselves like this one, Data Workers. The infamous attack of XZ-Utils (https://lnkd.in/dNJbbZtp) has shown the threats of patient malicious actors that could have generated huge security breaches unnoticed without the curiosity and talent of an open source maintainer. This again sparks the idea of more fundamental democratic initiatives calling for public institutions capable of maintaining and protecting the open source tools which are the basis of a huge number of our IT tools and used by billions of people daily (check the idea of Tim Bray advocating for Open Source Quality Institutes: https://lnkd.in/dXJv35bq). The tech worker movement is growing and spreading. That is good news for all of us.
This #MayDay we’re proud to announce the upcoming project Data Workers’ Inquiry 📢 With eye-opening reports, powerful documentaries and poignant personal accounts produced by data workers themselves, the project sheds light on the often-invisible experiences and challenges faced by the #workers who power the world of #AI. Get a first look here ➡️ https://lnkd.in/eakyvwHY and stay tuned for the launch on June 20th! Project Team: Dr. Milagros Miceli Miceli (Weizenbaum-Institut and DAIR) , Adio-Adet Dinika (DAIR), Krystal Kauffman (DAIR and Turkopticon), Camilla Salim Wagner (Weizenbaum Institute), and Laurenz S. (Weizenbaum Institute)
COMING SOON: The Data Workers’ Inquiry - Unveiling the Hidden Labor Behind AI
https://www.youtube.com/
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Professor of the Ethics of Artificial Intelligence, LMU Munich | Principal Investigator for Ethics of AI, Munich Center for Machine Learning | Associate Editor, Science and Engineering Ethics
New (short) paper by Silvia Milano and me: "Advanced AI assistants that act on our behalf may not be ethically or legally feasible", in Nature Machine Intelligence: https://lnkd.in/d6WbE4mU #aiethics Munich Center for Machine Learning LMU Munich – Ludwig-Maximilians-Universität München This is a short response to the tech industry buzz about advanced AI assistants, as well as to Google Deepmind's interesting recent paper "The Ethics of Advanced AI Assistants", by Iason Gabriel, Arianna Manzini, Geoff Keeling et al.
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AI Expert Specializing in AI Strategy & Governance | Advocate for Responsible AI | Renewable Energy Enthusiast
As a fan of ensemble learning and someone who enjoyed applying Random Forests on time-series, I was quite excited to read the paper "More Agents is All You Need" (link below). The paper highlights how the collaboration between multiple agents can improve the performance of LLMs. More specifically, the authors propose a simple sampling-and-voting method, in which they show how the performance of the LLM can be improved by increasing the ensemble size (the number of agents). Going through this paper, I couldn't help but imagine a bunch of AI Agents debating and making decisions. I hope they don't mimic our political practices and vote along party-lines regardless of what they believe is right 😅 But at least there will be no occasional fist-fights within the "walls" of AI Parliaments 🏛 🤖 😆 #ai #aiagents #llms https://lnkd.in/dsP5Bee8 [image generated by AI]
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Chief Communications Officer at Gibson, Dunn & Crutcher LLP | Strategic Communications
1moWell deserved!