Authors: Diogo Leitão, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro Human-AI collaboration (HAIC) in decision-making aims to create synergistic teaming between human decision-makers and AI systems. Learning to defer (L2D) has been presented as a promising framework to determine who among humans and AI should make which decisions in order to optimize the performance and fairness of the combined system. Nevertheless, L2D entails several often unfeasible requirements, such as the availability of predictions from humans for every instance or ground-truth labels that are independent from said humans. Furthermore, neither L2D nor alternative approaches tackle fundamental issues of deploying HAIC systems in real-world settings, such as capacity management or dealing with dynamic environments. In this paper, we aim to identify and review these and other limitations, pointing to where opportunities for future research in HAIC may lie. arXiv: https://arxiv.org/abs/2206.13202 Venue: ICML 2022 workshop on Human-Machine Collaboration and Teaming (https://sites.google.com/view/icml-2022-hmcat/home) To learn more about the Research Team at Feedzai, visit: https://feedzai.com/feedzai-research/
The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. However, what most businesses fail to understand is that for positive business outcomes, AI needs to be used in conjunction with human intelligence. To that effect, what does the process of combining human and machine intelligence look like in practice? Join Judith Hurwitz and Dan Kirsch for an hour-long webinar as they discuss weak augmentation vs. strong augmentation, and identify how organizations can rethink business processes through the inclusion of data, human learning, and machine learning.
While many celebrated efforts in Artificial Intelligence aim at exceeding human performance, the real promise of AI in real-world domains, such as healthcare and law, hinges on developing systems that can successfully support human experts. In this talk, I’ll share several directions of research we are pursuing towards effective human-AI partnership in the open world, including combining the complementary strengths of human and machine reasoning, addressing concerns around trust, transparency and reliability, and using AI to improve human engagement. Ece Kamar is a senior researcher at the Adaptive Systems and Interaction Group at Microsoft Research. She earned her PhD in computer science from Harvard University where she was advised by Prof. Barbara Grosz. Her research spans several subfields of AI, including planning, machine learning, multi-agent systems and human-computer teamwork, and is inspired by real-world applications that can benefit from the complementary abilities of people and AI. She is particularly interested in the impact of AI on society and developing AI systems that are reliable, unbiased, and trustworthy.
We’re on a path to a future where artificial intelligence (AI) and humans collaborate; one could argue that time is already here. Issues of trust in teams, building rapport, and group formation will dramatically change with the infusion of AI into our social workplace. As AI begins to further augment user interactions and interfaces, there is a pressing need to think about how we want to design such AI-powered social systems and experiences. In this breakout session, we bring together experts from the social sciences, AI and machine learning, and computer science to discuss this integration, particularly how emotional intelligence can be realized to make AI-powered systems more human-like and how this may influence collaborative practices at both the practical and ethical levels. See more at https://www.microsoft.com/en-us/research/video/artificial-emotional-intelligence-social-systems-and-the-future-of-collaboration/
While Artificial Intelligence has been around for decades we are witnessing a new generation of solutions. Augmented intelligence represents the most significant commercialization of AI/ML for business. Augmented intelligence is an approach that uses tools from artificial intelligence to perform well-defined tasks that support business decision- making. In this webinar, Judith Hurwitz, president of Hurwitz & Associates and the co-author of the forthcoming book, Augmented Intelligence will discuss the importance of augmented intelligence as the technique to provide for collaboration between humans and machines. The webinar will explain: What augmented intelligence is and how it can benefit business decision makers What do business leaders need to understand about AI and machine learning to avoid traps What are the risks in terms of ethics, compliance, and governance Judith Hurwitz, President & CEO, Hurwitz & Associates, a research and consulting firm focused on the business value of emerging technologies Judith S. Hurwitz, President and CEO of Hurwitz & Associates, Inc., a firm focused on emerging technology in enterprise computing including Artificial Intelligence, machine learning, big data, cloud computing, and security. She is a technology strategist, thought leader, speaker, and author. A pioneer in anticipating technology innovation and adoption, she has served as a trusted advisor to many industry leaders over the years. She is the co-author of 10 books including Augmented Intelligence (Taylor & Francis Group, 2019), Cognitive Computing and Big Data Analytics (Wiley, 2015), and Cloud Computing for Dummies (Wiley, 2020). Judith holds a BS and MS degrees from Boston University. [More]
While Artificial Intelligence has been around for decades we are witnessing a new generation of solutions. Augmented intelligence represents the most significant commercialization of AI/ML for business. Augmented intelligence is an approach that uses tools from artificial intelligence to perform well-defined tasks that support business decision- making. In this webinar, Judith Hurwitz, president of Hurwitz & Associates and the co-author of the forthcoming book, Augmented Intelligence will discuss the importance of augmented intelligence as the technique to provide for collaboration between humans and machines. The webinar will explain: What augmented intelligence is and how it can benefit business decision makers What do business leaders need to understand about AI and machine learning to avoid traps What are the risks in terms of ethics, compliance, and governance Judith Hurwitz, President & CEO, Hurwitz & Associates, a research and consulting firm focused on the business value of emerging technologies Judith S. Hurwitz, President and CEO of Hurwitz & Associates, Inc., a firm focused on emerging technology in enterprise computing including Artificial Intelligence, machine learning, big data, cloud computing, and security. She is a technology strategist, thought leader, speaker, and author. A pioneer in anticipating technology innovation and adoption, she has served as a trusted advisor to many industry leaders over the years. She is the co-author of 10 books including Augmented Intelligence (Taylor & Francis Group, 2019), Cognitive Computing and Big Data Analytics (Wiley, 2015), and Cloud Computing for Dummies (Wiley, 2020). Judith holds a BS and MS degrees from Boston University. [More]
Currently, there is an increasing ambition in industry and research for building artificial intelligence (AI) that will support people in their everyday life and work. Decision-making is a central aspect in this ambit. AI and machine learning algorithms are being used to assist doctors, lawyers, and governments in diagnosing diseases, making judicial decisions, and defining policies. It is more important than ever that these algorithms are designed and optimized in a way that simplifies and accounts for human-AI collaboration. Addressing these challenges requires methods and techniques at the intersection of cognition, sociology, and artificial intelligence. In this breakout session, we bring together expertise from these different perspectives and enable the speakers, as well as the audience, to share emerging theoretical results, experimental findings, and applications involving human-AI decision-making. See more at https://www.microsoft.com/en-us/research/video/human-ai-collaboration-for-decision-making/
In 1997, Garry Kasparov became the first knowledge worker to be surpassed by an intelligent machine—at least that is one way to look at the world chess champion’s famous match loss to the IBM supercomputer Deep Blue. Instead of becoming the cognitive John Henry, Kasparov has spent the past 20 years pursuing his fascination with how humans and increasingly powerful AIs can work together. In this talk, he will also discuss the role business must play in moving AI from the laboratory into the mainstream and how the new generation of machine learning can create knowledge that contributes to real insight and understanding, not merely efficiency. Most of all, Kasparov wants us to be optimistic and ambitious about the reality and potential of intelligent machines, what he calls a self-fulfilling prophecy.
Jamal will discuss his research explaining why diversity and collaboration are of utmost importance for machines that learn about our world using AI. Jamal is passionate about designing artificial intelligence (AI) for real-world applications. His Ph.D. in Computer Science at Michigan State University was focused on designing and investigating Al techniques for medical data analysis. He has presented his research at various national and international venues. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Jamal will discuss his research explaining why diversity and collaboration are of utmost importance for machines that learn about our world using AI. Jamal is passionate about designing artificial intelligence (AI) for real-world applications. His Ph.D. in Computer Science at Michigan State University was focused on designing and investigating Al techniques for medical data analysis. He has presented his research at various national and international venues. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
George Yang is the founder and CEO of AI Pros, a tech start up which operates in Silicon Valley, California and Manila. Surrounded by technology and discussions of how Artificial Intelligence (A.I.) can replace Human Intelligence (H.I.), George Yang introduces the idea of Augmented Intelligence – how A.I. and H.I. can add value to the other and create something better entirely. George Yang is the founder and CEO of AI Pros, a tech start up which operates in Silicon Valley, California and Manila. Surrounded by technology and discussions of how Artificial Intelligence (A.I.) can replace Human Intelligence (H.I.), George Yang introduces the idea of Augmented Intelligence – how A.I. and H.I. can add value to the other and create something better entirely. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx