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Let's get real about data, AI, and ethics. How can we build an AI-driven world rooted in ethical data use? Timely, thought-provoking takes every week discussing current events in the rapidly changing world of AI. Sign up for our newsletter: https://lnkd.in/e6Zr3Ymm #substack #ethicaltech #ethicaldatause #dataAI #aialignment #ainewsletter

Randall Thomas is one of the best and most important thinkers in the Ethics of computing. Watch him, it's worth it. https://lnkd.in/gWCp_Urs TL;DW AI has a lot of consequences, and our decisions on how we use it and in what avenues we accept it can be hugely impactful. Doctors have the Hippocratic Oath, Thomas asks if developers need one. I'm asking if educators need one to? What would your "oath" be? I'll start, 1) I will model and promote AI to question the augment and enhance teaching and learning. 2) I will automate the inconsequential to enhance the consequential. One parting quote from Eliezer Yudkowsky: "By far the greater danger of artificial intelligence is that people conclude too early that they understand it."

🤖⚖ Dive into radical AI policy discussions! Explore the Alliance for the Future's initiatives shaping the future of AI governance. Stay informed about AI policy developments. #AIPolicy #FutureGovernance Read more ⬇️

Classy piece here by Cary Coglianese summarising a fascinating new paper on The Right to a Human Decision, or not, from Aziz Huq Very much what I was banging on about with my trust work as it happens – some people trust machines because they have been shown that people are biased, and vice versa. The trustworthiness of the process will in the end be the thing that matters, whether the biased humans or the biased machines, of perhaps slightly less biased machines if the techies do their job right.  But alot of this also needs proper right to redress, 'computer says no' cannot be the last word as it so often is in other areas. Perhaps the three elements of our Framework for Meaningful Involvement should be repurposed for process - we trust something if we believe it has: 1. A Public Interest Purpose 2. A Trustworthy Process 3. Visible Impact (which is itself in the public interest) https://lnkd.in/ez5mC7mN

On Capitol Hill and in the White House, that alone breeds growing suspicion and defensiveness. Altman and others, including from another prominent AI startup Anthropic, weighed in with ideas for the Biden administration’s sweeping executive order last fall on AI safety and development. But that didn’t earn them lasting good will. “In no way did the idea come from them,” says Ben Buchanan, the senior adviser for AI at the White House who was one of the drafters of the order, referring to the tech industry and suggestions that the rules were written in ways that help existing players. “I reject wholeheartedly the notion of regulatory capture.” The biggest fear for Big Tech’s political antagonists? That AI will — yet again — concentrate power in a few hands. Not just in terms of economic spoils but the power to remake the world in ways well beyond the control of Washington. “There is a winner take all dimension” to the AI revolution, Rohit Chopra, who directs the Consumer Financial Protection Bureau, tells me. “We struggle to see how it doesn’t turn, absent some government intervention, into a market structure where the foundational AI models are not dominated by a handful of the big tech companies.” Saying “star struck” policymakers across Washington have to get over their “eyelash batting awe” over new tech, Chopra predicts “another chapter in which big tech companies are going to face some real scrutiny” in the near future, especially on antitrust.

AccelPro IP Law offers interviews and products to accelerate your professional development. This week, we’re launching our IP community with a discussion on artificial intelligence and authorship featuring Ryan Abbott from University of Surrey and UCLA. "Some of the issues that I've been most involved with have been whether and to what extent you can protect AI-generated output with intellectual property rights. In particular, if you asked GPT-4, “Can you invent a COVID vaccine for me?” and it does, whether that's the sort of thing that could get patent protection. Or if you asked GPT-4, “Can you write my next book for me?” and it does, whether that's the sort of thing that could get copyright protection." https://lnkd.in/ghn9GRdj ☕Neal Ungerleider, Geoff Isenman

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Explore the moral and ethical dimensions of artificial intelligence with a UBC Okanagan Professor. As a political scientist and the acclaimed author of "We, the Data: Human Rights in the Digital Age", she delves into how disruptive technology is reshaping global issues. Watch the webinar recording now! 🎥👇 #ArtificialIntelligence #DataRights #HumanRights

How does a LLM actually works ? What is an embedding, or attention mechanisms ? This blog post answers these questions and give an overview of available techniques and the existing ecosystem.

Let your own AI proxy date a potential partner first: get in blind!