Artificial Intelligence is already being used to help learners learn a broad range of subjects. It is also being used to inform the teaching process and related decisions such as what aspects a learner can develop well via technology, and which areas are still best left to a human teacher to address. In this panel discussion we will share insights from recent developments in the field of AI and how they relate to learning and teaching, with particular focus on the learning and teaching of languages.

Synthetic Intelligence Forum convened a Panel Discussion about Privacy and AI. Privacy is a critical topic for developers, users, and regulators of AI solutions. Regulatory regimes, such as the General Directive on Data Privacy (GDPR), impose strict penalties and harsh sanctions for violators. The co-evolution of increasingly sophisticated AI applications and comprehensive privacy legislation have created many opportunities and challenges for stakeholders of AI technologies. Panelists in this discussion included: • Ikjot Saini, PhD (Assistant Professor, University of Windsor) – https://www.linkedin.com/in/ikjotsaini/ • Sepideh Ghanavati, PhD (Assistant Professor, University of Maine) – https://www.linkedin.com/in/sepideh-ghanavati-phd-48473b33/ • Maryam Salehijam, PhD (Mentor, Founder Institute; and Advisor, Paqt) – https://www.linkedin.com/in/maryamsalehijam/ The moderator is: • Vik Pant (Founder, Synthetic Intelligence Forum) – https://www.linkedin.com/in/vikpant These subject matter experts discussed the application of mission-critical, industrial-strength, and production-grade privacy solutions in organizational settings. The format of this conversation was a free flowing and easy going discussion between the panelists. Panelists discussed common governance and compliance problems in the industry as well as state of the art privacy techniques that are relevant for AI use cases. Join Synthetic Intelligence Forum online: • Website – http://www.synthint.ai • LinkedIn (Page) – http://network.synthint.ai • LinkedIn (Group) – http://community.synthint.ai • YouTube – http://video.synthint.ai Special Thanks to our Partner: • ET Business Services

Round Table Discussion with Suchi Saria and Elias Bareinboim MICCAI Tutorial on Causality in Medical Image Computing https://sites.google.com/view/causemic/

Artificial intelligence (AI) and machine learning represent a major technological shift that is spurring a 21st century renaissance around customer experiences, creativity, and content. With AI adoption spanning nearly all industry verticals and lines of business, it’s fundamentally transforming productivity, business processes, content creation, data insights, and how brands are delivering personalized customer experiences. Given AI’s growing pervasiveness and uncertainty around its economic impact, how can companies embrace this paradigm shift to scale their business and add value? Watch as brands, researchers and more weigh in with the conversation moderated by Altimeter analyst Susan Etlinger.

Group Discussion on Artificial intelligence Team members: 19BBS0116 – Ayushi Aggarwal 19BBS0138 – K Sree Charan Reddy 19BBS0144 – Sowmya Rajnarayanan 19BBS0145 – Sai Vinay 19BBS0148 – Mahi Pavan Teja Sathuguna Sai

This panel discussion comprises speakers from both DLRL Summer School and the Summer Institute on AI & Society. CIFAR’s Deep Learning & Reinforcement Learning (DLRL) Summer School brings together graduate students, post-docs and professionals to cover the foundational research, new developments, and real-world applications of deep learning and reinforcement learning. Participants learn directly from world-renowned researchers and lecturers. DLRL Summer School 2019 happened July 24 – August 2 in Edmonton, Alberta, Canada. The event is a part of both the CIFAR Learning in Machines & Brains program and CIFAR Pan-Canadian AI Strategy’s National Program of Activities, and is delivered in partnership with Canada’s three national AI Institutes, Amii, Mila and the Vector Institute. Learn more about CIFAR here: https://www.cifar.ca/ Learn more about the DLRL Summer School here: https://dlrlsummerschool.ca Learn more about Amii here: https://www.amii.ca

This is a panel discussion was hosted by PhD Student Council at the University of Skovde. The event was sponsored by IPSI; an industrial research school. How AI has changed the research landscape in the last few decades? Where is the current trend leading to? What it takes a graduate student to contribute to the field? The main topics of the discussion are: Get a brief historical perspective of the research landscape (in connection to AI) in different fields. The scenario of the current research landscape, in view of funding, collaborations, and publications. Current trend’s pros-cons. For PhDs and young researchers, how to benefit, and what to be wary of? This event will be held in a panel discussion format. It is intended to be less of a presentation or interview and more of a discourse between the panelists. The panel consists of five researchers from the University of Skövde: Peter Anderberg who is a professor in Health Sciences and leads several research projects with focus on development of technology and services for older people. Amos H.C. Ng, a professor in Production and Automation Engineering. His current research interest lies in combining multi-disciplinary simulations and AI-based prescriptive analytics for supporting decision-making in manufacturing/service/health-care domains. Jörgen Hansson, professor in informatics, who´s research areas include safety-critical systems, software architecture, and dependability aspects. Nikolaos Kourentzes, professor in predictive analytics, researching various areas of time series modeling and business forecasting, using Artificial Intelligence, Econometrics, and Statistics. Jane Synnergren, associate professor in bioinformatics. Jane´s research [More]

A panel discussion with Dalith Steiger (Swiss Cognitive), and Sophie Achermann (Allianz F). Our panel will have a closer look at how ethics may vary from culture to culture, how business and tech need to talk and work closely together to define the very standards of their work. We will have a closer look at the questions companies now have to answer and of course, we will also figure out how artificial intelligence can be used not only to follow ethical guidelines but also to guide us to more ethical thinking. The bio’s of our panelists – Dalith Steiger Dalith studied mathematics at the University of Zurich, co-founded the award-winning AI start-up SwissCognitive, and the CognitiveValley Foundation, together with Andy Fitze. Dalith was born in Israel and grew up in Switzerland. She is a global AI advisor and speaker, sharing her extensive knowledge and experience in the field of AI around the world. She is also CEO of the Swiss IT Leadership Forum, and Member of the Advisory Council of digital-liberal.ch. Dalith sits in the jury of the Digital Economy Award as well as the START Hack, she is an advisor at Kickstart Innovation, a mentor at the Founder Institute, and teaches AI & Machine Learning in a CAS module at the Applied University of Luzern. Besides her drive for cognitive technologies, she is also a loving mother of two teenage girls, a passionate mountain biker and a big fan of high-heel shoes. – Sophie Achermann Sophie Achermann has been [More]

We should try to speak english. There are many people that are not speak english perfectly. So, try to discuss with group. Its makes your confidence

One important topic for the field of machine learning is fairness in AI, which has become a table-stake for ML platforms and services, driven by customer / business needs, regulatory / legal requirements and societal expectations. Researchers have been actively studying how to address disparate treatment caused by bias in the data and the resulting amplification of such bias by ML models, and how to ensure that the learned model does not treat subgroups in the population unfairly. During NeurIPS 2020, five Amazon scientists working on these types of challenges gathered for a 45-minute virtual session to address the topic. Watch the recorded panel discussion here, where the scientists discuss how fairness applies to their areas of AI / ML research, the interesting studies and advancements happening in the space, and the collaborations they’re most excited to see occurring across the industry in an effort to advance fairness in AI. Learn more: https://www.amazon.science/videos-webinars/amazon-panel-to-host-virtual-event-on-fairness-in-ai Follow us: Twitter: https://twitter.com/AmazonScience Facebook: https://www.facebook.com/AmazonScience Instagram: https://www.instagram.com/AmazonScience LinkedIn: https://www.linkedin.com/showcase/AmazonScience Newsletter: https://www.amazon.science/newsletter

This is one of the most asked topics considering group discussion. Group Discussion – Impact of Technology on Jobs. Group Discussion (GD) is one of the elimination rounds in the interview process. Eight to ten participants share their ideas and perspectives on the given topic. Hence it is very important to use the right words and sentences to share your ideas confidently. Technological advancements like artificial intelligence and automation will have a major impact on the workforce TED Talk- https://www.youtube.com/watch?v=_U2YobRC8OY Video -https://www.youtube.com/watch?v=opdc8hQN0ew #jobs #technology #groupdiscussion #discussion #jobs #impact #jobs #job #jobsearch #hiring #recruitment #career #work #employment #careers #nowhiring #jobseekers #recruiting #business #jobsearching, jobseeker, resume, hr, jobopening, jobopportunity, jobvacancy, jobhunt, jobinterview, jobshiring, hiringnow, vacancy, covid, staffing, motivation, #interview #careergoals #jobseeking #newjob #vacancies #life #loker #technology #money #groupdiscussion #training #bestcareercounseling #discus #bestspokenenglishclasses #englishclasses #personalinterview #gd #interviewtips #learnenglish #communication #ielts #bodylanguage #interview #thegridiscoming #safejob #english #grid #interviewskillstraining #englishlearning #debate #grammar #englishmania All the Topics that I am covering their ideas could be used for GD topics of MBA , Group Discussion ,Latest GD Topics, GD Topics, Recent GD Topics, Current GD Topics, Group discussion topic, Essay, Debate, Speeches,Essay writing.MBA aspirants will enjoy the topic. The topic is also prepared for all MBA aspirants of the country. I have also considered the fact that students are overburdened with written exams and in such times they may not have time to prepare for GDs or personal interview. This channel sets up platform for students to amass knowledge for GD and personal Interview. I have covered [More]

It has been over three decades since the statistical revolution overtook AI by a storm and over two decades since deep learning (DL) helped usher the latest resurgence of artificial intelligence (AI). However, the disappointing progress in conversational agents, NLU, and self-driving cars, has made it clear that progress has not lived up to the promise of these empirical and data-driven methods. DARPA has suggested that it is time for a third wave in AI, one that would be characterized by hybrid models – models that combine knowledge-based approaches with data-driven machine learning techniques. Joining us on this panel discussion is polymath and linguist Walid Saba – Co-founder ONTOLOGIK.AI, Gadi Singer – VP & Director, Cognitive Computing Research, Intel Labs and J. Mark Bishop – Professor of Cognitive Computing (Emeritus), Goldsmiths, University of London and Scientific Adviser to FACT360. Moderated by Dr. Keith Duggar and Dr. Tim Scarfe Pod version: https://anchor.fm/machinelearningstreettalk/episodes/56—Dr–Walid-Saba–Gadi-Singer–Prof–J–Mark-Bishop-Panel-discussion-e145bt0 https://www.linkedin.com/in/gadi-singer/ https://www.linkedin.com/in/walidsaba/ https://www.linkedin.com/in/profjmarkbishop/ Introduction [00:00:00] Bishop Intro: [00:03:09] Gadi Intro [00:05:06] Walid Intro [00:06:37] Gadi Opening Statement [00:08:30] Bishop opening statement [00:12:21] Walid Opening Statement [00:16:08] Round Robin Kickoff [00:18:49] Self-supervised categories as vectors [00:25:57] The context of understanding electric sheep? [00:28:12] Most unique human knowledge is not learnable [00:37:16] Two modes of learning: by observation and by deduction [00:41:09] Hybrid directions [00:46:24] Monte Carlo tree search and discrete overlays [00:51:44] What’s missing from artificial neural networks? [00:54:40] Closing Statement: Bishop [01:02:45] Closing Statement: Gadi [01:06:09] Closing Statement: Walid [01:08:48] Rapid Round: When will we have AGI? [01:10:55] #machinelearning [More]

Screening and Panel Discussion on Coded Bias Film, March 29 ACM’s Technology Policy Council and Diversity and Inclusion Council sponsored a free screening and public discussion of the film “Coded Bias” and how those in computer science fields can address issues of algorithmic fairness. The discussion occured on Monday, March 29, 2021 from 2:30-4:00 pm EDT (8:30pm CEST). PANELISTS: Dame Prof. Wendy Hall, Regius Professor of Computer Science, University of Southampton Hon. Bernice Donald, Federal Judge U.S. Court of Appeals for the Sixth Circuit Prof. Latanya Sweeney, Daniel Paul Professor of Government & Technology, Harvard University Prof. Ricardo Baeza-Yates, Research Professor, Institute for Experiential AI, Northeastern University MODERATOR: Prof. Jeanna Matthews, Professor of Computer Science, Clarkson University SPONSORS: ACM Technology Policy Council ACM Diversity & Inclusion Council National Science Foundation ADVANCE Grant Clarkson Open Source Institute (COSI), Clarkson University https://www.acm.org/diversity-inclusion/from-coded-bias-to-algorithmic-fairness

Unfortunately there was a technical problem and the first part of the panel wasn’t recorded. Our deep apologies! Panel Discussion on the Relationship of AI & Robotics The views of Peter Hart and James Kuffner will differ in many regards. These differences will serve as the starting point for a high-caliber panel discussion. In addition to the two keynote speakers, the panel includes the greats of robotics, vision, and AI: Nils Nilsson, together with Peter Hart, was part of the Shakey project and has an early leader in AI; he continues to write monographs, including some of the earliest textbooks on AI. Ruzena Bajcsy is one of the early visionaries at the intersection of robotics and vision, having pioneered the active vision paradigm, among many other things. Rodney Brooks, the inventor of the subsumption architecture, has caused shifts of tectonic proportions in robotics, both in academia and in industry. He has greatly affected the development of robotics over the last thirty years. Manuela Veloso and Ben Kuipers both are current prolific and recognized leaders who successfully run research endeavors at the intersection of robotics and AI; they will be able to provide today’s perspective on both fields. The panel will be moderated by the IEEE RAS president, Raja Chatila. The year 2015 marks the 50th anniversary of the Shakey project. Conducted at the Stanford Research Institute (now SRI), this project in many ways paved the way for today’s research in robotics and AI. Many accomplishments of this project are still [More]

Panelists include Russ Altman, Justine Cassell, Fernanda Viégas, and Bob Zhang.

Dr. Ben Goertzel and Vitalik Buterin discuss the future of AI and Blockchain during a panel discussion moderated by Adrienne Batra at the CryptoChicks Blockchain & AI conference! —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents. Website: https://singularitynet.io Forum: https://community.singularitynet.io Telegram: https://t.me/singularitynet Twitter: https://twitter.com/singularity_net Facebook: https://facebook.com/singularitynet.io Instagram: https://instagram.com/singularitynet.io Github: https://github.com/singnet Linkedin: https://www.linkedin.com/company/singularitynet

Organised By National Science Centre, Delhi (National Council of Science Museums) Ministry of Culture, Govt. of India Moderator: Shri N. Ramdas Iyer Head (Education) & Curator ‘G’, NSC, Delhi Panel: 1. Mathew James Bailey Recognised Authority- Innovation Ecosystems Artificial Intelligence, Smart Cities, IoT (Global Impact) 2. D Kishore Balaji Director- Global Trade Policy, Intel, India 3. Dr. Rahul Katarya Associate Professor Department of Computer Science & Engineering Delhi Technological University, Delhi 4. Ms. Nuriya Ansari Managing Partner Learning Link Foundation, India

Artificial Intelligence (AI) promises to transform air cargo and take it to the next level through improved planning, prediction, and personalisation. Is AI really transforming air cargo and taking it into the next level? Reji John, Editor, The STAT Trade Times, leads a panel discussion to find some answers at the Air Cargo Europe conference on June 5, 2019 during tranport logistic in Munich, Germany. In the panel are Thorsten Friedrich, Head of eAWB Global Rollout, Lufthansa Cargo; Manel Galindo, CEO, WebCargo by Freightos; Sara Van Gelder, Cargo Business Development Manager, Brussels Airport Company; Adrian Kosowski, Head of Research & Co-Founder, NavAlgo.

Great Learning cordially invites you to be a part of the online launch event of IIIT-Delhi’s Post Graduate Diploma in Computer Science and Artificial Intelligence. The program will be launched in the presence of IIIT Delhi and Great Learning dignitaries, who’ll be sharing their valuable insights on how this program focussed on emerging technologies will help shape our futures. The panelists include: 𝗜𝗜𝗜𝗧-𝗗𝗲𝗹𝗵𝗶 𝗙𝗮𝗰𝘂𝗹𝘁𝘆: ● Prof. Sanjit Krishnan Kaul – Professor, ECE Department, Program Coordinator, PG Diploma in Computer Science & AI, IIIT Delhi ● Prof. Saket Anand – Head, Infosys Center for Artificial Intelligence (CAI), IIIT-Delhi and Associate Professor (CSE, ECE), IIIT-Delhi ● Prof. Raghava Mutharaju – Associate Professor, CSE IIIT Delhi 𝗚𝗿𝗲𝗮𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗧𝗲𝗮𝗺: ● Harish Subramanian – Director, Academics & New Products, Great Learning ● Mohan Lakhamraju – Founder & CEO, Great Learning Key questions that will get answered: How would the program help candidates become future-ready and build rewarding careers? Who is this program for? What roles can participants aspire for? What are the key learning outcomes from the programs?” About Great Learning: – Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.

“AI is one of the most important things humanity is working on. It’s more profound than electricity or fire.” – Sundar Pichai, CEO of Google. Listen as experts discuss the implications for effective machine learning and exchange best practices for applying AI across industries. Moderator: Mike Reiner (OpenOcean) Cassie Kozyrkov (Google) Claire Novorol (Ada Digital Health Ltd) Mark Chung (Verdigris Technologies) Rebecca Clyde (Botco.ai) Tech Open Air is Europe’s leading technology and innovation festival. Our mission is to connect, engage and inspire through transformative discourse, knowledge exchange and collaboration. Connect with us and stay up to date about our next events: http://www.toaberlin.com http://www.fb.com/techopenair http://www.twitter.com/toaberlin http://instagram.com/toaberlin

Panel discussion on ‘The Emerging Role of Artificial Intelligence in the Financial Sector’ at World AI Show Mauritius on 28 – 29 Nov 2018 at The Intercontinental, Mauritius. With over 500+ in attendance #WorldAIShow Mauritius was a huge success. Panelists: Dinis Guarda Paresh Daya Dev Hurkoo Marc Frentzel Moderated by: Sarvapali (Gopal) Ramchurn ************* WHAT IS WORLD AI SHOW? World AI Show is a global series of initiatives that takes place around the world. The show features an elite gathering of decision makers from enterprises, AI experts, data scientists, technology leaders, startups, investors, researchers, academicians, and global AI technology innovators – to discuss the impact of AI on commercial applications and the revolutionary ways it can transform businesses and government functions. To find a #WorldAIShow edition taking place near you, visit: https://worldaishow.com/ ************* FOLLOW #WorldAIShow FOR LATEST UPDATES AND BEST DEALS ON TICKETS Facebook – https://www.facebook.com/WorldAIShow/ Twitter – https://twitter.com/WorldAIShow Instagram – https://www.instagram.com/worldaishow/ LinkedIn – https://www.linkedin.com/showcase/wor…

Leanne Elliott Young is joined by Daniel Felstead, Iris Luz, Katie Baron and Wilson Oreyema to discuss technology in fashion. The panellists discuss potential utopian futures, and how new technologies facilitate social, political and environmental change, also enabling the consumer to take back control. Exploring artificial intelligence and virtual realities to 3-D fabric manipulation, the panel talk about how our careers will change in the future, and the possibility of automated jobs. Also discussed: digital anxieties and how we can come to terms with the certainty of a digital future. Established in November 2000, SHOWstudio is an award-winning fashion website, founded and directed by Nick Knight, that has defined the manner in which fashion is presented via the Internet. A pioneer of fashion film and live fashion broadcasting, SHOWstudio is now recognised as the leading force behind these mediums, offering a unique platform to nurture and encourage fashion to engage with moving image in the digital age. In its documentation of fashion and the arts, SHOWstudio has collaborated with pop culture icons and creatives including Tracey Emin, Lady Gaga, John Galliano, Kate Moss, Alexander McQueen, Charles Jeffrey, Gareth Pugh and many more. Visit SHOWstudio: http://showstudio.com/ Explore our channel: https://www.youtube.com/user/SHOWstudio Instagram: https://www.instagram.com/showstudio/ Twitter: https://twitter.com/SHOWstudio Facebook: https://www.facebook.com/SHOWstudio/ Shop our selection of art and books: https://shop.showstudio.com/ Shop our designers: https://www.machine-a.com/ #FashionWeek #DigitalFashion