Redefining AI - Artificial Intelligence with Squirro

Spotlight Eleven is a snippet from our upcoming episode: Prof. Joanna J Bryson - How does technology impact important cooperative behaviors like governance, political polarization, economic inequality, and social mobility? Listen to the full episode, as soon as it comes out by subscribing to Redefining AI. Who is Prof. Joanna J Bryson? Professor Joanna J Bryson is an academic who is recognised for broad expertise on intelligence, its nature, and its consequences. Holding two degrees each in psychology and AI (BA Chicago, MSc & Master of Philosophy from Edinburgh and a PhD from MIT), since 2020 she is the Professor of Ethics and Technology in the Centre for Digital Governance at Hertie School, in Berlin. She advises governments, corporations, and other agencies globally, particularly on AI policy. Why this Episode? In this podcast episode, Joanna, an expert in psychology and AI, delves into the fascinating integration of these fields and their impact on the future of technology and human experience. She discusses her perspective on AI, explaining the interplay between artificial entities and the real world. Joanna also explores the limitations of machine learning in developing moral agents and raises thought-provoking questions about the possibility and desirability of building such agents. Furthermore, she addresses the intricate relationship between technology and crucial cooperative behaviors such as governance, political polarization, economic inequality, and social mobility, highlighting both the potential benefits and challenges that arise from these transformations. This episode provides insightful perspectives on the ethical considerations associated with technology's intersection with these important aspects of human society and offers suggestions for leveraging technology to address existing challenges and promote positive change.

In this episode Lauren Hawker Zafer is joined by Dr. Yossi Sheffi Who is Dr. Yossi Sheffi? Dr. Yossi Sheffi is the Elisha Gray II professor of Engineering Systems at the Massachusetts Institute of Technology, where he serves as Director of the MIT Center for Transportation and Logistics (CTL). He is an expert in systems optimization, risk analysis and supply chain management, which are the subjects he researches and teaches at MIT, both at the MIT School of Engineering and at the Sloan School of Management. From 2007 to 2011 he served as Head of MIT's Engineering Systems Division. In these years he set up the administrative structure, launched a successful PhD program, hired and promoted several faculty members and set the long term strategy of the division.  Dr. Sheffi has been recognized in numerous ways in academic and industry forums, including the 1997 Distinguished Service Award given by the Council of Supply Chain Management Professionals. He is the author of several books including his latest "The Magic Conveyor Belt: Supply Chains, A.I., and the Future of Work." Why this Episode? With the expert input of Dr. Yossi Sheffi, this episode explores the implications of AI on job roles, skill requirements, and overall workplace dynamics, providing a comprehensive overview of what lies ahead in this transformative era. By listening to this episode, you'll not only stay informed about the latest advancements but also gain practical advice on how to adapt and thrive in an AI-enabled world, making it a must-listen for anyone interested in preparing for the future of work. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

This extra special session is a recording of the AI session that was hosted by Redefining AI LIVE at the Podcast Show London. The session: The Coronation of AI - Palpable Excitement & Endless Opportunities of Creative Collaboration is a conversation that provides us with an opportunity to dive into the realm of where technology meets imagination, where innovation intertwines with artistry, and where the future of creative collaboration is taking shape. It discusses how AI has emerged as a prominent force that is pushing the boundaries of what we once thought possible. AI is transforming industries and opening doors to uncharted territories of expression. Together, we will explore what this means for creators. What is the potential, the challenges, and the ethical considerations that come hand in hand with this technological revolution? Uncover the secrets behind AI's coronation, the palpable excitement surrounding its capabilities, and the profound impact it holds for the future of creative collaboration. Join us for "The Coronation of AI: Palpable Excitement & Endless Opportunities of Creative Collaboration." Together, let's unlock the limitless possibilities and shape your AI persona - where AI reigns as a creative ally. Lauren Hawker Zafer was joined in this conversation by Sean King, Senior Vice President and General Manager, Commercial Enterprise - Veritone and David Segura, CEO - Glassbox Media.

Spotlight Ten is a snippet from our upcoming episode: Dr. Yossi Sheffi - The Etchings of an AI Enabled World - The Future of Work. Listen to the full episode, as soon as it comes out by subscribing to Redefining AI. Who is Dr. Yossi Sheffi? Dr. Yossi Sheffi is the Elisha Gray II professor of Engineering Systems at the Massachusetts Institute of Technology, where he serves as Director of the MIT Center for Transportation and Logistics (CTL). He is an expert in systems optimization, risk analysis and supply chain management, which are the subjects he researches and teaches at MIT, both at the MIT School of Engineering and at the Sloan School of Management. From 2007 to 2011 he served as Head of MIT's Engineering Systems Division. In these years he set up the administrative structure, launched a successful PhD program, hired and promoted several faculty members and set the long term strategy of the division. Dr. Sheffi has been recognized in numerous ways in academic and industry forums, including the 1997 Distinguished Service Award given by the Council of Supply Chain Management Professionals. He is the author of several books including his latest "The Magic Conveyor Belt: Supply Chains, A.I., and the Future of Work." Why this Episode? With the expert input of Dr. Yossi Sheffi, this episode explores the implications of AI on job roles, skill requirements, and overall workplace dynamics, providing a comprehensive overview of what lies ahead in this transformative era. By listening to this episode, you'll not only stay informed about the latest advancements but also gain practical advice on how to adapt and thrive in an AI-enabled world, making it a must-listen for anyone interested in preparing for the future of work.

In this episode Lauren Hawker Zafer is joined by Janna Lipenkova Who Can Benefit From This Conversation?  Tune in to this captivating podcast episode, delving into the realm of detecting and combating greenwashing. Engage with Lauren and Janna as they unravel the intricacies of LLMs and other NLP techniques, and how they can help uncover the truth behind environmental and sustainability claims. Learn and grow while you listen, arming yourself with invaluable knowledge to navigate the world of sustainability with clarity and confidence. Who is Janna Lipenkova?Janna Lipenkova holds a Master in Chinese Studies and Economics, a PhD in Computational Linguistics and speaks seven languages fluently. After several years of work in AI in academia and industry, she started her own analytics business and is now the CEO and Co-Founder of Equintel. Equintel uses AI and NLP methods to deliver timely and objective ESG and impact analytics. Janna is fascinated by the current developments in Generative AI and their impact on our society and actively contributes to public discourse in the AI space on Medium and her blog (jannalipenkova.com). REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

Spotlight Nine is a snippet from our upcoming episode: Janna Lipenkova - Detecting and Mitigating Greenwashing Risks with LLMs and Other NLP Approaches. Listen to the full episode, as soon as it comes out by subscribing to Redefining AI. Who is Janna Lipenkova?Janna Lipenkova holds a Master in Chinese Studies and Economics, a PhD in Computational Linguistics and speaks seven languages fluently. After several years of work in AI in academia and industry, she started her own analytics business and is now the CEO and Co-Founder of Equintel. Equintel uses AI and NLP methods to deliver timely and objective ESG and impact analytics. Janna is fascinated by the current developments in Generative AI and their impact on our society and actively contributes to public discourse in the AI space. You can find out more about her contribution on her blog (jannalipenkova.com) and Medium (https://medium.com/@janna.lipenkova_52659). Why this Episode? Tune in to this captivating podcast episode, delving into the realm of detecting and combating greenwashing. Engage with Janna as she unravels the intricacies of LLMS and other NLP techniques and how they can help you to uncover the truth behind environmental claims. Learn and grow while you listen, arming yourself with invaluable knowledge to navigate the world of sustainability with clarity and confidence.

In this episode Lauren Hawker Zafer is joined by Neil Leiser Who Can Benefit From This Conversation?  Having had a number of representative discussions with a variety of individuals from differing tech angles, Neil joins Redefining AI to provide us with a alternative revelation window: what is, and is not being spoken about in the field and how have his own experiences with AI Stories bolstered these revelations. Who is Neil Leiser?Neil is a civil and environmental engineering who mastered in Data Science and Machine Learning from the University College London. At present, he holds a data scientist position at Iwoca, where he specialises in building complex machine learning models for credit risk including credit scoring, affordability assessment, prediction of losses. In addition to his professional responsibilities as a data scientist, he is also the host of the AI Stories podcast. AI Stories focuses on conversations with a variety of guests from different backgrounds and different industries and presents them with an opportunity to talk about their career and how they use AI in their day to day to benefit society and impact our world. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

Spotlight Eight is a snippet from our upcoming episode: Neil Leiser - AI Stories Revealed. Listen to the full episode, as soon as it comes out by subscribing to Redefining AI. Who is Neil Leiser?Neil is a civil and environmental engineering who mastered in Data Science and Machine Learning from the University College London. At present, he holds a data scientist position at Iwoca, where he specialises in building complex machine learning models for credit risk including credit scoring, affordability assessment, prediction of losses. In addition to his professional responsibilities as a data scientist, he is also the host of the AI Stories podcast. AI Stories focuses on conversations with a variety of guests from different backgrounds and different industries and presents them with an opportunity to talk about their career and how they use AI in their day to day to benefit society and impact our world. Why this Episode? Having had a number of representative discussions with individuals from a variety of tech angles, Neil joins Redefining AI to provide us with a revelation window - what is, and is not being spoken about in the field and how have his own experiences with AI Stories bolstered these revelations.

In this episode Lauren Hawker Zafer is joined by David Foster Who Can Benefit From This Conversation?  Generative modeling is one of the hottest topics in AI at present, seeing as it is now possible to teach a machine to excel at human endeavors such as: painting, writing, and composing music. This episode helps you understand how we got to this point, and how the use of generative deep learning impacts our understanding of authorship and creativity in the arts, such as music, and literature. David and Lauren also discuss the huge impacts that Generative AI will have on children who are growing up with AI. Who is David Foster?David Foster is the co-founder of Applied Data Science Partners, a data science consultancy delivering bespoke solutions for clients. He holds an MA in Mathematics from Trinity College, Cambridge, UK and an MSc in Operational Research from the University of Warwick. He is a faculty member of the Machine Learning Institute and has won several international machine learning competitions. He is the author of Generative Deep Learning: Teaching Machines To Paint, Write, Compose and Play (O'Reilly), an acclaimed technical textbook focused on novel applications of deep learning to generative modelling. REDEFINING AI is powered by The Squirro Academy - learn.squirro.com. Try our free courses on AI, ML, NLP and Cognitive Search at the Squirro Academy and find out more about Squirro here.

Spotlight Seven is a snippet from our upcoming episode: David Foster - Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play . Listen to the full episode, as soon as it comes out by subscribing to Redefining AI. Who is David Foster?David Foster is the co-founder of Applied Data Science Partners, a data science consultancy delivering bespoke solutions for clients. He holds an MA in Mathematics from Trinity College, Cambridge, UK and an MSc in Operational Research from the University of Warwick. He is a faculty member of the Machine Learning Institute and has won several international machine learning competitions. He is the author of Generative Deep Learning: Teaching Machines To Paint, Write, Compose and Play (O'Reilly), an acclaimed technical textbook focused on novel applications of deep learning to generative modelling.   Why this Episode?Generative modeling is one of the hottest topics in AI at present, seeing as it is now possible to teach a machine to excel at human endeavors such as: painting, writing, and composing music. This episode helps you understand how we got to this point, and how the use of generative deep learning impacts our understanding of authorship and creativity in the arts, such as music and literature. David and Lauren also discuss the huge impacts that Generative AI will have on children who are growing up with AI.