In the age of A.I., we endlessly debate what consciousness looks like. Can a camera see things more clearly? Earlier that day, she'd been onstage at the conference I was attending and had been teased for a gesture that looked as though she were flipping off the audience. Now she was in the hotel lobby, in a black gown, holding court. She stepped in front of a bright-orange wall. I had brought an 85-mm. "What are your hopes for the future of humanity?" She wasn't keen to answer, but she responded to the camera.

From tech moguls in Silicon Valley to those who have the luxury of indulging in the exploration of cutting-edge AI technologies, OpenAI's ChatGPT has captured the imagination of many with its conversational AI capabilities. The large language models that underpin ChatGPT and similar language technologies rely on vast amounts of textual data and alignment procedures to generate responses that can sometimes leave users pondering whether they're interacting with a piece of technology or a human. While some view making language agents such as Chat-GPT merely as a significant step in developing AI for linguistic tasks, others view it as a vital milestone in the ambitious pursuit of achieving artificial general intelligence - AI systems that are generally more intelligent than humans. In a recent blogpost OpenAI's CEO, Sam Altman, emphasizes the ambitious role of this technology as a step towards building "artificial general intelligence" that "benefits all of humanity." ChatGPT promises to enhance efficiency and productivity with its remarkable capabilities.

The Center is co-sponsoring a two-day conference on the philosophy of deep learning, organized by Ned Block (NYU), David Chalmers (NYU) and Raphaël Millière (Columbia), co-sponsored by the Presidential Scholars in Society and Neuroscience program at Columbia University. The conference will explore current issues in AI research from a philosophical perspective, with particular attention to recent work on deep artificial neural networks. The goal is to bring together philosophers and scientists who are thinking about these systems in order to gain a better understanding of their capacities, their limitations, and their relationship to human cognition. The conference will focus especially on topics in the philosophy of cognitive science (rather than on topics in AI ethics and safety). A pre-conference debate on Friday, March 24th will tackle the question "Do large language models need sensory grounding for meaning and understanding?" Speakers include Jacob Browning (New York University), David Chalmers (New York University), Yann LeCun (New York University), and Ellie Pavlick.

It's a good thing that the abstract and the concrete (or abstract objects in "mathematical space" and the "real world") are brought together in David Chalmers' account of Strong Artificial Intelligence (AI). Often it's almost (or literally) as if AI theorists believe that (as it were) disembodied computations can themselves bring about mind or even consciousness.

Over the past two decades, the philosopher David Chalmers has established himself as a leading thinker on consciousness. He began his academic career in mathematics but slowly migrated toward cognitive science and philosophy of mind. He eventually landed at Indiana University working under the guidance of Douglas Hofstadter, whose influential book "Gödel, Escher, Bach: An Eternal Golden Braid" had earned him a Pulitzer Prize. Chalmers's dissertation, "Toward a Theory of Consciousness," grew into his first book, "The Conscious Mind" (1996), which helped revive the philosophical conversation on consciousness. Perhaps his best-known contribution to philosophy is "the hard problem of consciousness" -- the problem of explaining subjective experience, the inner movie playing in every human mind, which in Chalmers's words will "persist even when the performance of all the relevant functions is explained."

Hoy traemos a este espacio este panel de Future of Life Institute sobre la Inteligencia artificial de 8 reconocidos pensadores gurús tecnológicos actuales: Elon Musk, Stuart Russell, Ray Kurzweil, Demis Hassabis, Sam Harris, Nick Bostrom, David Chalmers, Bart Selman, and Jaan Tallinn discuss with Max Tegmark (moderator) what likely outcomes might be if we succeed in building human-level AGI, and also what we would like to happen. 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. You can find an audio balanced version of this panel here: https://www.youtube.com/watch?v OFBwz...

Recently, a conference on artificial intelligence, tantalizingly titled "Superintelligence: Science or Fiction?", was hosted by the Future of Life Institute, which works to promote "optimistic visions of the future". The conference offered a range of opinions on the subject from a variety of experts, including Elon Musk of Tesla Motors and SpaceX, futurist Ray Kurzweil, Demis Hassabis of MIT's DeepMind, neuroscientist and author Sam Harris, philosopher Nick Bostrom, philosopher and cognitive scientist David Chalmers, Skype co-founder Jaan Tallinn, as well as computer scientists Stuart Russell and Bart Selman. The discussion was led by MIT cosmologist Max Tegmark. The conversation's topics centered on the future benefits and risks of artificial superintelligence, with everyone generally agreeing that it's only a matter of time before AI becomes paramount in our lives. Eventually, AI will surpass human intelligence, with the ensuing risks and transformations.