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Sep 24, 2023 #dwdocumentary #ai #documentary
Creativity. Emotions. Artificial intelligence is pushing further and further into primal human domains. The existential question arises: What actually makes us what we are, when the uniqueness of the human being is challenged?

For millennia, we humans saw ourselves as the pinnacle of creation, because only we could create art, talk to each other, play chess, throw bombs, vacuum the apartment and so on. But artificial intelligence and robots are increasingly making our apparent uniqueness pale in significance. What, if anything, makes humans unique? Can a computer be creative? And what does it mean for our society when we can no longer tell if we are communicating with a human being or with an artificial intelligence? After all, algorithms can determine our consumer behavior, write volumes of love poems, diagnose cancer, control weapons systems in war and drive cars.
Filmmaker Volker Strübing explores the relationship between humans and robots. Together with his AI named Thekla, he focuses on core values: What does the simulation of empathy or love mean? Why do we question the validity of a work of art, the moment we learn it was created by a machine? The documentary “I Compute, Therefore I Am” examines which areas we are willing to leave to an AI – and which we feel should belong exclusively to humans.

Apr 29, 2021
Imagine the incredible value if every project was delivered on time, on budget and with little or no change to the scope of work? That is the potential of applying artificial intelligence (AI) to project management. However, misconceptions and lack of preparation are huge challenges for organizations that attempt to implement AI for project management.

This presentation starts with a concise overview of AI and provides basic guidelines for how it can be used in projects. A practical demonstration of AI capability in project management is included. AI is a disruptive technology that will change the way we manage projects. We need to understand the potential of this technology and use it to deliver the project success rates that this profession truly deserves.

About the Presenter

Paul Boudreau is a highly respected project management professional with over thirty-five years experience in the technology industry. Paul is currently a college professor in Ottawa, Canada where he teaches in the project management program. He is a global leader in researching and applying AI concepts to project management, focusing on three areas: machine learning, natural language processing and genetic algorithms. He is obsessed with finding ways to dramatically increase project success rates and has written two books about using AI for project management, “Applying Artificial Intelligence to Project Management”, and “How the Project Management Office Can Use Artificial Intelligence to Improve the Bottom Line”.

Apr 23, 2023
Turnitin Chief Product Officer Annie Chechitelli, Arizona State University , Executive Vice President and Chief Operating Officer, Chris Howard, Gyan Inc CEO Joy Dasgupta, National Louis University , Provost and Vice President of Academic Affairs, Eddie Phillips, Stanford GSE Assistant Professor in Education Data Science Dora Demszky, and Edtech Insiders Founder and CEO Alex Sarlin at the 2023 ASU+GSV Summit.

AI is transforming the way we teach and learn. Whether through creating intelligent virtual assistants, personalized learning experiences, or new forms of digital content, the AI is rapidly disrupting how students and faculty approach their daily work. Join our expert panelists as they discuss the opportunities and challenges that AI presents for the future of higher education.

Recorded October 4, 2023.

U of T Professor Emeritus Geoffrey Hinton is joined by Stanford University Professor Fei-Fei Li for a special talk on ethical AI, presented by Radical Ventures and hosted by the University of Toronto. They address the ethical considerations of AI development and its advancement — as well as its potential to solve some of the world’s most pressing problems. They also discuss their collaboration on one of the most important milestones in the history of modern AI.

Since leaving Google in May 2023, Geoffrey Hinton, known as the “godfather of AI,” has become vocal about the existential risks posed by rapid advancements in artificial intelligence. Li is co-director of Stanford’s Human-Centered AI Institute. She agrees with Hinton on the threat and emphasizes the need to invest in public institutions to help guide the technology’s future.

https://www.youtube.com/watch?v=QWWgr2rN45o

Sep 26, 2024 KING’S PLACE
In the first lecture of the series, The Alan Turing Institute’s Head of Online Safety and AI for Public Services, Jonathan Bright, will explore how political campaigns are making use of AI and the challenges posed by deepfakes. He’ll also talk about fact-checking, content moderation and why it’s so important to approach the media we consume in the digital age with a healthy amount of scepticism.

Jonathan will probe AI’s impact on our political world and what it might mean for the future of democracy. This talk aims to leave its audience with a better understanding of the ways in which AI could both support and undermine democracy, and the steps we can take to increase our resilience to AI generated misinformation.

This series of Turing Lectures is presented by The Alan Turing Institute, in partnership with Knowledge Quarter.

Nov 9, 2023 THE ROYAL INSTITUTION
As generative AI becomes increasingly sophisticated, its potential to revolutionise the way we interact with data is clear. It has already shown its ability to assist with tasks such as image and video synthesis, text and speech generation, and music composition. However, the rapid development of generative AI models has also raised concerns about their misuse, particularly in the context of disinformation campaigns, deepfakes and online harassment.

Are generative AI models moving too fast for regulation to keep up? Will the development of generative AI outpace our ability to ensure their responsible use?

In this lecture, Dr Mhairi Aitken will examine what this means for online and offline safety and discuss how society might be able to mitigate these risks.

Mhairi Aitken is an Ethics Fellow in the Public Policy Programme at The Alan Turing Institute, and an Honorary Senior Fellow at Australian Centre for Health Engagement, Evidence and Values (ACHEEV) at the University of Wollongong in Australia. She is a Sociologist whose research examines social and ethical dimensions of digital innovation particularly relating to uses of data and AI. She was included in the 2023 international list of “100 Brilliant Women in AI Ethics”.

This lecture is part of a series of events – How AI broke the internet – that explores the various angles of large-language models and generative AI in the public eye.

This series of Turing Lectures is organised in collaboration with The Royal Institution.

https://www.youtube.com/watch?v=UYdx74st9O4

https://www.youtube.com/watch?v=_JfEScYyVCE

In a society that is confronting the new age of AI in which LLMs begin to display aspects of human intelligence, understanding the fundamental theory of deep learning and applying it to real systems is a compelling and urgent need.

This panel will introduce some new simple foundational results in the theory of supervised learning. It will also discuss open problems in the theory of learning, including problems specific to neuroscience.

Moderator: Tomaso Poggio – Professor of Brain and Cognitive Sciences, MIT
Panelists:
Ila Fiete – Professor of Brain and Cognitive Sciences, MIT
Haim Sompilinski – Professor of Molecular and Cellular Biology and of Physics, Harvard University
Eran Malach – Research fellow, Kempner Institute at Harvard University
Philip Isola – Associate Professor, EECS at MIT

Jan 25, 2024
December 5, 2023
Douwe Kiela, Contextual AI

Language models have led to amazing progress, but they also have important shortcomings. One solution for many of these shortcomings is retrieval augmentation. I will introduce the topic, survey recent literature on retrieval augmented language models and finish with some of the main open questions.

More about the course can be found here: https://web.stanford.edu/class/cs25/

AI: Does artificial intelligence threaten our human identity? | DW Documentary

The Power of Artificial Intelligence for Project Management

The future of artificial intelligence in radiology: Prof. Dr. med. Mathias Goyen

Artificial Intelligence and the Future of Higher Education

Geoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development

The Turing Lectures: Can democracy handle AI?

The Turing Lectures: Addressing the risks of generative AI

Yann LeCun: Towards Machines That Can Understand, Reason, & Plan

Panel Discussion: Open Questions in Theory of Learning

Stanford CS25: V3 I Retrieval Augmented Language Models

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