Lifeboat Foundation

So how should companies begin to think about ethical data management? What measures can they put in place to ensure that they are using consumer, patient, HR, facilities, and other forms of data appropriately across the value chain—from collection to analytics to insights?

We began to explore these questions by speaking with about a dozen global business leaders and data ethics experts. Through these conversations, we learned about some common data management traps that leaders and organizations can fall into, despite their best intentions. These traps include thinking that data ethics does not apply to your organization, that legal and compliance have data ethics covered, and that data scientists have all the answers—to say nothing of chasing short-term ROI at all costs and looking only at the data rather than their sources.

In this article, we explore these traps and suggest some potential ways to avoid them, such as adopting new standards for data management, rethinking governance models, and collaborating across disciplines and organizations. This list of potential challenges and remedies is not exhaustive; our research base was relatively small, and leaders could face many other obstacles, beyond our discussion here, to the ethical use of data. But what’s clear from our research is that data ethics needs both more and sustained attention from all members of the C-suite, including the CEO.

Ray Kurzweil explores how and when we might create human-level artificial intelligence at the January 2017 Asilomar conference organized by the Future of Life Institute.

The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial.

Continue reading “Creating Human-Level AI: How and When | Ray Kurzweil” »

Yoshua Bengio (MILA), Irina Higgins (DeepMind), Nick Bostrom (FHI), Yi Zeng (Chinese Academy of Sciences), and moderator Joshua Tenenbaum (MIT) discuss possible paths to artificial general intelligence.

The Beneficial AGI 2019 Conference: https://futureoflife.org/beneficial-agi-2019/

Continue reading “Possible Paths to Artificial General Intelligence” »

This lecture was recorded on February 3, 2003 as part of the Distinguished Science Lecture Series hosted by Michael Shermer and presented by The Skeptics Society in California (1992–2015).

Can there be freedom and free will in a deterministic world? Renowned philosopher and public intellectual, Dr. Dennett, drawing on evolutionary biology, cognitive neuroscience, economics and philosophy, demonstrates that free will exists in a deterministic world for humans only, and that this gives us morality, meaning, and moral culpability. Weaving a richly detailed narrative, Dennett explains in a series of strikingly original arguments that far from being an enemy of traditional explorations of freedom, morality, and meaning, the evolutionary perspective can be an indispensable ally. In Freedom Evolves, Dennett seeks to place ethics on the foundation it deserves: a realistic, naturalistic, potentially unified vision of our place in nature.

Continue reading “Dr. Daniel Dennett — Freedom Evolves: Free Will, Determinism, and Evolution” »

This mini documentary takes a look at Elon Musk and his thoughts on artificial intelligence. Giving examples on how it is being used today — from Tesla cars to Facebook, and Instagram. And what the future of artificial intelligence has in store for us — from the risks and Elon Musk’s Neuralink chip to robotics.

The video will also go over the fundamentals and basics of artificial intelligence and machine learning. Breaking down AI for beginners into simple terms — showing what is ai, along with neural nets.

Continue reading “Elon Musk on Artificial Intelligence (and the Basics of AI) — Documentary” »

David Chalmers, Professor of Philosophy and Neural Science at NYU, joins us to discuss his newest book Reality+: Virtual Worlds and the Problems of Philosophy.

Topics discussed in this episode include:

Continue reading “David Chalmers on Reality+: Virtual Worlds and the Problems of Philosophy” »

Robert Long is a research fellow at the Future of Humanity Institute. His work is at the intersection of the philosophy of AI Safety and consciousness of AI. We talk about the recent LaMDA controversy, Ilya Sutskever’s slightly conscious tweet, the metaphysics and philosophy of consciousness, artificial sentience, and how a future filled with digital minds could get really weird.

Audio & transcript: https://theinsideview.ai/roblong.
Michaël: https://twitter.com/MichaelTrazzi.
Robert: https://twitter.com/rgblong.

Continue reading “Robert Long–Artificial Sentience, Digital Minds” »

I have a question for you that seems to be garnering a lot of handwringing and heated debates these days. Are you ready? Will humans outlive AI? Mull that one over. I am going to unpack the question and examine closely the answers and how the answers have been elucidated. My primary intent is to highlight how the question itself and the surrounding discourse are inevitably and inexorably rooted in AI Ethics.

A worthy question is whether humans will outlive AI, though the worthiness of the question is perhaps different than what you think it is. All in all, important AI Ethics ramifications arise.

All those numbers seem incalculably abstract but, according to the moral philosopher William MacAskill, they should command our attention. He is a proponent of what’s known as longtermism – the view that the deep future is something we have to address now. How long we last as a species and what kind of state of wellbeing we achieve, says MacAskill, may have a lot to do with what decisions we make and actions we take at the moment and in the foreseeable future.

That, in a nutshell, is the thesis of his new book, What We Owe the Future: A Million-Year View. The Dutch historian and writer Rutger Bregman calls the book’s publication “a monumental event”, while the US neuroscientist Sam Harris says that “no living philosopher has had a greater impact” upon his ethics.

We tend to think of moral philosophers as whiskery sages, but MacAskill is a youthful 35 and a disarmingly informal character in person, or rather on a Zoom call from San Francisco, where he is promoting the book.