- Ai - Engineering Mailing Lists

AI seminar: Oct 20 2021
by Mangannavar, Rajesh Devaraddi 15 Oct '21

15 Oct '21

Dear all, Our next AI seminar on *"From Escalation to Production" *by Javad Azimi is scheduled to be on October 20th, 1-2 PM PST. It will be followed by a 30 minute Q&A session by the graduate students. Note that this is a zoom event. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *From Escalation to Production* Javad Azimi Machine Learning Engineer Twitter *Abstract:*Few years ago, I was sitting at the other side of the table at OSU where I was eagerly and happily listening to the people from outside of OSU sharing their research with amazing results. Top notch researchers who moved (and are moving) the edge on science; I am not one of them now. I always wanted to go through the same path but I finally convinced myself to change the gear and move toward the product side in tech companies rather than research. World is much different here as the challenges are moved from ML sides to the product sides. How a problem is being defined and brought into our attention? How do we measure and evaluate the potential impact of allocating resources (human and budget)? How to prototype and make conclusions based on it? How to handle the scale and pave the path into having a product? And how to maintain and keep it up and running? In this talk, I am going to share my experiences in all of these steps with you with an interesting example: Misinformation Detection. My goal is to give you a taste of work waiting for you if you decide to go through the same path as I did. *Speaker Bio:*Javad Azimi is currently a tech lead ML engineer at Twitter working at the Misinformation team where the goal is to reduce the prevalence of misleading information at Twitter! Prior to joining Twitter in March 2020, he was serving the same role at Facebook with special focus on Facebook/Instagram posts containing photos and videos. Before Facebook, he worked at Microsoft where he developed NLP models for ads retrieval team for 4 years. He graduated from the EECS department of Oregon State University under the supervision of Xiaoli Fern and Alan Fern in 2012. His PhD thesis title was “Constrained Bayesian Optimization” where they published a few papers at MLJ, NIPS, ICML, KDD, AAAI, IJCAI, ECML etc. *Please watch this space for future AI Seminars: * * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> The AI Seminar has a strict "no electronics" and "no recordings" policy. -> For graduate students in the AI program, attendance is strongly encouraged.

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AI seminar: Oct 13 2021
by Mangannavar, Rajesh Devaraddi 12 Oct '21

12 Oct '21

Dear all, Our next AI seminar on *"From Heatmaps to Structural Explanations" *by professor Fuxin Li is scheduled to be on October 13th(Tomorrow), 1-2 PM PST. It will be followed by a 30 minute Q&A session by the graduate students. Note that this is an in-person/zoom hybrid event and will be held at *CORD 1109*. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *From Heatmaps to Structural Explanations* Fuxin Li Associate Professor Computer Science Oregon State University *Abstract*This talk will focus on our endeavors in the past few years in terms of explaining image classifiers. Realizing that an important missing piece for explaining neural networks is a reliable heatmap visualization tool, we developed I-GOS and iGOS++ utilizing integrated gradients to avoid local optima in heatmap generations and improve performance in high-resolution heatmaps. Especially, iGOS++ was able to discover that deep classifiers trained on COVID-19 X-ray images wrongly focus on the characters printed on the image and could produce erroneous solutions. This shows the utility of explanation in "debugging" the classifiers. During the development of those visualizations, we realize that for a significant number of images, the classifier has multiple different paths to reach a confident prediction, this leads to our recent development of structural attention graphs, an approach that utilizes beam search to locate multiple coarse heatmaps for a single image, and compactly visualizes a set of heatmaps by capturing how different combinations of image regions impact the confidence of a classifier. A user study shows significantly better capability of users to answer counterfactual questions when presented with SAG versus conventional heatmaps. *Speaker Bio:*Fuxin Li is currently an associate professor in the School of Electrical Engineering and Computer Science at Oregon State University. Before that, he has held research positions in University of Bonn and Georgia Institute of Technology. He had obtained a PhD degree in the Institute of Automation, Chinese Academy of Sciences in 2009. He has won an NSF CAREER award, an Amazon Research Award, an Oregon State University College of Engineering Research Award, (co-)won the PASCAL VOC semantic segmentation challenges from 2009-2012, and led a team to the 4th place finish in the DAVIS Video Segmentation challenge 2017. He has published more than 60 papers in computer vision, machine learning and natural language processing. His main research interests are deep learning, video object segmentation, multi-target tracking, point cloud deep networks, uncertainty estimation in deep learning and human understanding of deep learning. This talk will be followed by a talk on the topic "*From Escalation to Production*" by Javad Azimi on 20th October (Wednesday) 2021, 1-2 PM. *Please watch this space for future AI Seminars: * * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> The AI Seminar has a strict "no electronics" and "no recordings" policy. -> For graduate students in the AI program, attendance is strongly encouraged.

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[CoRIS-List] Robotics roundtable discussion, Friday October 15
by Ross L. Hatton 11 Oct '21

11 Oct '21

Title: Roundtable Discussion and Q/A about the OSU Robotics Program Friday October 15th, 10am-11am LINC 302 Speakers: Robotics program director and other Robotics faculty The robotics program director and other faculty will be available to introduce ourselves and to host a roundtable discussion on the current state of the OSU Robotics program. We encourage new students and existing students to attend and ask any questions they may have about the program. Some faculty will also be available afterwards to talk in smaller groups with students.

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FW: Tech Talk Tuesday: In Pursuit of Reliable Autonomy in the Open World
by Fern, Alan Paul 11 Oct '21

11 Oct '21

I recommend that AI students (and others) attend the EECS Tech Talk tomorrow at 11am (see below). The talk is by one of our new AI Faculty (starting in December) Sandhya Saisubramanian. -Alan From: Tina Batten <tina.batten(a)oregonstate.edu> Sent: Wednesday, October 6, 2021 8:15 AM To: Fern, Alan Paul <Alan.Fern(a)oregonstate.edu> Subject: Tech Talk Tuesday: In Pursuit of Reliable Autonomy in the Open World View this email in your browser<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmailchi.m…> [https://mcusercontent.com/4ed5c72a58ff81119658f624f/images/5aee7181-8630-4c…] TECH TALK TUESDAY [https://mcusercontent.com/4ed5c72a58ff81119658f624f/images/d91a4bbe-7f8f-8b…] In Pursuit of Reliable Autonomy in the Open World Sandhya Saisubramanian Assistant Professor Computer Science Oregon State University Tuesday, October 12, 2021 Talk: 11:00-11:30 a.m. PST | Q/A: 11:30-11:45 Zoom link: https://beav.es/tech-talk<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…> Info: https://eecs.oregonstate.edu/tech-talk-tuesday<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…> Abstract The increased deployment of artificial intelligence (AI) systems and their broad societal impacts brings along new challenges, particularly ensuring that these systems operate reliably in the open world. Reliability is critical in shaping how users will interact and trust AI systems. Despite recent advances in AI and machine learning, it is challenging to assure that a system will always operate reliably, when deployed. One of the causes of unreliable behavior is the impreciseness of the model used for decision-making. Regardless of how much effort goes into system design and how much data is available for testing, it is generally infeasible to obtain a perfect description of open-world environments. This talk will focus on the inherent challenges and future directions for designing autonomous systems that can operate reliably in the presence of uncertainty and model imprecision. Speaker Bio Vincent Immler is an incoming assistant professor of electrical and cSandhya Saisubramanian is an incoming Assistant Professor in EECS at Oregon State University. She completed her Ph.D. in Computer Science from the University of Massachusetts Amherst in September 2021 and officially starts as a faculty at Oregon State University in December 2021. Sandhya's research focuses on developing general techniques for reliable decision-making in autonomous systems that operate in the open world. She is a recipient of Distinguished Paper Award at IJCAI 2020 and was selected as a Rising Star in EECS by UC Berkeley in 2020.iversity Munich and a BS/MS in IT-Security from Ruhr-University Bochum. Copyright (c) 2021 Oregon State University, All rights reserved. School of Electrical Engineering and Computer Science Oregon State University 1148 Kelley Engineering Center 110 SW Park Terrace Corvallis, OR 97331-5501 Phone: (541) 737-3617 | eecs.oregonstate.edu<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…> Want to change how you receive these emails? You can update your preferences<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…> or unsubscribe from this list<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…>.

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AI seminar: Oct 11 2021
by Mangannavar, Rajesh Devaraddi 11 Oct '21

11 Oct '21

Dear all, Our next AI seminar (webinar) on *"NSF National AI Research Institute on Adult Learning and Online Education*" by Prof. Ashok Goel is scheduled to be on October 11th(Tomorrow), 1-2 PM PST. It is open to the public and will be followed by a 30 minute Q&A session by the graduate students. *Note*: This talk may be of interest to colleagues not only in AI and CS but also in cognitive science/psychology and learning science/education including distance education and professional education. Zoom link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *NSF National AI Research Institute on Adult Learning and Online Education * *Ashok K. Goel * School of Interactive Computing Georgia Institute of Technology *Abstract:* NSF has announced the establishment of a National AI Research Institute on Adult Learning and Online Education (ALOE). The ALOE Institute seeks to address the societal challenge of lifelong learning, workforce development, and reskilling and upskilling of millions of American workers each year. Online education offers an affordable medium for taking education to workers where they live; however, there remain serious questions about the quality of online education. ALOE will develop new AI technologies that enhance cognitive engagement, teacher presence and social interaction in online education, and thereby improve its quality for adult learners in STEM disciplines at least to the level of face-to-face learning. In addition to these use-inspired AI techniques, ALOE will conduct foundational AI research on personalization of learning at scale, interactive machine teaching to enable teachers and learners to develop their own cognitive assistants, mutual theory of mind to enable humans and AI assistants to better understand one another, and participatory design of sociotechnical systems for responsible AI. I will describe ALOE’s vision, goals and plans, using examples from my own research for illustration. *Bio**: *Ashok Goel is a Professor in the School of Interactive Computing at Georgia Institute of Technology and the Chief Scientist with Georgia Tech’s Center for 21st Century Universities. For over 35 years, he has conducted research into cognitive systems at the intersection of AI and cognitive science with a focus on computational design and creativity. Over the last decade, much of his research has focused on AI in education and education in AI. Ashok is the Founding Editor of AAAI’s *Interactive AI Magazine* established in 2020 (InteractiveAIMag.org) and Editor Emeritus of* AI Magazine. *In 2019, he was a Co-Chair of the 41st Annual Conference of the Cognitive Science Society*. *He is a Fellow of AAAI and in 2019 he received AAAI’s Outstanding AI Educator Award. (This is the talk rescheduled from last week which could not be completed due to technical issues). This talk will be followed by a talk on the topic "*From Heatmaps to Structural Explanations*" by professor Fuxin Li on 13th October (Wednesday) 1-2 PM, 2021. *Please watch this space for future AI Seminars: * * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> The AI Seminar has a strict "no electronics" and "no recordings" policy. -> For graduate students in the AI program, attendance is strongly encouraged.

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[CoRIS-List] OSU Robotics Seminar, Amy LaViers, Friday October 8
by Ross L. Hatton 08 Oct '21

08 Oct '21

Hi All, I'm pleased to announce that the second installment of the OSU Robotics seminar series this Fall will be a talk from Amy LaViers of the Robotics, Automation, and Dance (RAD) Lab, at 10am on Friday, October 8. ---- Dr. LaViers will be joining us remotely via Zoom, at https://oregonstate.zoom.us/j/93958424124?pwd=bVlhZlRCbTFOaHIwZUx1R1h6d205Z… <https://oregonstate.zoom.us/j/93958424124?pwd=bVlhZlRCbTFOaHIwZUx1R1h6d205Z…> ---- If you would like to attend the seminar in person with others at OSU, I will have LINC 302 (the seminar room for this term) set up for Dr. LaViers' presentation, using the new classroom Zoom capabilities. If you would prefer not to attend in person, but would like some unstructured interaction time with others in the OSU Robotics community, I encourage you to join the seminar's Gather space before or after the seminar, https://gather.town/app/HeC6WAB1zL6cKWp5/OSU%20Robotics%20Seminar <https://gather.town/app/HeC6WAB1zL6cKWp5/OSU%20Robotics%20Seminar> ---- Prof. LaViers is available for scheduled meetings. Please contact me if you would like to arrange a meeting. =================== Title: Hammers, Paintbrushes, Robots, Ghosts, and Glitter -- Embracing Duality in Movement Design and Creating New Tools for Expression with Artist-Engineer Teams Abstract: Which tools are more useful: hammers or paintbrushes? Robots or glitter? This talk will share a notion of duality between function and expression that challenges the traditional answers to these questions, highlighting how expression supports function (and vice versa) and pointing to ways that traditional value models can create counter-productive imbalance, especially in movement design. Collaborations between artists and engineers, such as the work of Leonardo Da Vinci, the Bauhaus School, and Apple, often reach legendary status, seeming impossible or impractical to emulate. However, the talk will offer solutions to the real, pragmatic challenges of working across these disciplines, providing examples of work by artist-engineer teams that have contributed to research in robotics: designing styles of artificial gait for bipeds; translating movement between natural and artificial bodies; and building installations that give the public creative experiences with robots. Thus, the talk motivates constructing balance between art and engineering through collaborative work – work that reveals the practical value of play, the utility of dance, and the urgent importance of glitter. Bio: Amy LaViers is the director of the Robotics, Automation, and Dance (RAD) Lab. Her choreography and machine designs have been presented internationally, including at Merce Cunningham’s studios, the Ferst Center for the Arts, Joe’s Pub at the Public Theater, and the Performance Arcade. Her writing has appeared in Nature, American Scientist, and Aeon. She is a co-founder of three startup companies: AE Machines, an award-winning automation software company; caali, an embodied media company; and, most recently, Soma Measure, a wearable device company. Her teaching has been recognized on the University of Illinois at Urbana-Champaign (UIUC)’s list of Teachers Ranked as Excellent by Their Students, with Outstanding distinction. She is a recipient of DARPA’s Young Faculty Award (YFA) and Director’s Fellowship (2015-2018). She has held positions as an assistant professor in mechanical science and engineering at UIUC and in systems and information engineering at the University of Virginia (UVA). She completed a two-year Certification in Movement Analysis (CMA) in 2016 at the Laban/Bartenieff Institute of Movement Studies (LIMS) and her Ph.D. in electrical and computer engineering at Georgia Tech in 2013. Her research began with her undergraduate thesis at Princeton University where she earned a certificate in dance and a degree in mechanical and aerospace engineering in 2009. From 2002-2005 she toured internationally as a member of the Tennessee Children’s Dance Ensemble (TCDE).

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AI seminar: Oct 6 2021
by Mangannavar, Rajesh Devaraddi 05 Oct '21

05 Oct '21

Dear all, Our next AI seminar will be by Charlie Kawasaki. He will be presenting on the topic "*The Autonomous Weapons Systems Arms Race: Developments, Ethics and Advocacy*" on *Oct 6 Wednesday, 1 PM-2 PM (Tomorrow). *It will be followed by a 30 minute Q&A session by the graduate students. Note that this is an in-person/zoom hybrid event and will be held at *CORD 1109*. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *The Autonomous Weapons Systems Arms Race: Developments, Ethics and Advocacy* Charlie Kawasaki, CISSP CTO PacStar (Curtiss-Wright Defense Solutions) *Abstract:*To achieve and maintain warfighting overmatch the US DoD, our coalition partners and adversaries are racing to develop new generations of autonomous weapons systems and AI/ML-based decision support systems. DoD planners expect these new technologies and warfighting tactics to increase decision-making speed, increase coordination across all domains (air, ground, sea, cyber, space), reduce the number of humans on the front lines, and improve the performance of weapons systems. Next generations of all major US ground combat vehicle programs are under design with unmanned or optionally manned variants. These will be controlled and directed by new US DoD networks such as being developed by the Joint All Domain Command and Control (JADC2) program, linking a global network of widespread sensors with commanders and warfighters, using AI/ML support in the cloud and in remote tactical settings. However, the US DoD is in its infancy in terms of technologies and development processes including validation and verification of these systems, calling into question the trustworthiness of these systems. While the US DoD races forward with the development of AI-based solutions, it has put high-level ethical frameworks in place to guide the development of these systems, though with substantial gaps largely unnoticed by the civilian population. In addition, significant work is underway at the U.N. and with numerous countries and humanitarian organizations to pursue bans on autonomous weapons outright or bans on certain aspects of autonomous weapons such as the automated targeting of humans. This presentation will highlight select developments in US DoD autonomous weapons programs and networks and will provide a deep dive into US DoD AI ethics and developmental directives and their gaps. It will also cover current international advocacy efforts and comparisons is ethical frameworks and approaches. Lastly, the presentation will outline several opportunities for researchers to engage in both technical and ethical advocacy efforts. *Speaker Bio: *Charlie Kawasaki, CISSP has served as PacStar (Curtiss-Wright Defense Solutions) CTO since 2004. He leads multiple innovation initiatives including the development of cutting-edge tactical computing and networking systems used in-theatre, on the ground, air, and naval platforms including unmanned and robotic systems. Charlie has over 40 years of experience in cybersecurity, machine learning/AI, systems integration, software engineering, and network engineering. Prior to joining PacStar, Charlie provided his expertise to early-stage technology companies, where he created dozens of software and networking-based products. Charlie served as CEO of RuleSpace, Inc., which created ML-based technology for Internet parental controls used by companies such as AOL, Yahoo, SBC, BellSouth, and Microsoft. Charlie currently serves on the board of the Technology Association of Oregon, the OSU EECS Industry Advisory Board Executive Committee, the OSU ORTSOC advisory board and Mount Hood Community College Cybersecurity Advisory Board. He also serves on boards and consults with multiple startup companies. He is a venture partner for Oregon Venture Fund. *Next week we will have 2 AI seminars.* The first seminar of next week will be by Professor Ashok Goel, on the topic "*NSF National AI Research Institute on Adult Learning and Online Education*" on 11th October (Monday) 2021, 1-2 PM. (This is the talk rescheduled from last week). This talk will be followed by a talk on the topic "*From Heatmaps to Structural Explanations*" by professor Fuxin Li on 13th October (Wednesday) 2021, 1-2 PM. *Please watch this space for future AI Seminars: * * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> The AI Seminar has a strict "no electronics" and "no recordings" policy. -> For graduate students in the AI program, attendance is strongly encouraged.

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[eecs-grads] AI seminar: Oct 6 2021
by Mangannavar, Rajesh Devaraddi 30 Sep '21

30 Sep '21

Dear all, Our next AI seminar will be by Charlie Kawasaki. He will be presenting on the topic "*The Autonomous Weapons Systems Arms Race: Developments, Ethics and Advocacy*" on *Oct 6 Wednesday, 1 PM-2 PM. *It will be followed by a 30 minute Q&A session by the graduate students. Note that this is an in-person event and will be held at *CORD 1109*. *The Autonomous Weapons Systems Arms Race: Developments, Ethics and Advocacy* Charlie Kawasaki, CISSP CTO PacStar (Curtiss-Wright Defense Solutions) *Abstract:*To achieve and maintain warfighting overmatch the US DoD, our coalition partners and adversaries are racing to develop new generations of autonomous weapons systems and AI/ML-based decision support systems. DoD planners expect these new technologies and warfighting tactics to increase decision-making speed, increase coordination across all domains (air, ground, sea, cyber, space), reduce the number of humans on the front lines, and improve the performance of weapons systems. Next generations of all major US ground combat vehicle programs are under design with unmanned or optionally manned variants. These will be controlled and directed by new US DoD networks such as being developed by the Joint All Domain Command and Control (JADC2) program, linking a global network of widespread sensors with commanders and warfighters, using AI/ML support in the cloud and in remote tactical settings. However, the US DoD is in its infancy in terms of technologies and development processes including validation and verification of these systems, calling into question the trustworthiness of these systems. While the US DoD races forward with the development of AI-based solutions, it has put high level ethical frameworks in place to guide the development of these systems, though with substantial gaps largely unnoticed by the civilian population. In addition, significant work is underway at the U.N. and with numerous countries and humanitarian organizations to pursue bans on autonomous weapons outright or bans on certain aspects of autonomous weapons such as the automated targeting of humans. This presentation will highlight select developments in US DoD autonomous weapons programs and networks and will provide a deep dive into US DoD AI ethics and developmental directives and their gaps. It will also cover current international advocacy efforts and comparisons is ethical frameworks and approaches. Lastly, the presentation will outline several opportunities for researchers to engage in both technical and ethical advocacy efforts. *Speaker Bio: *Charlie Kawasaki, CISSP has served as PacStar (Curtiss-Wright Defense Solutions) CTO since 2004. He leads multiple innovation initiatives including the development of cutting-edge tactical computing and networking systems used in-theatre, on the ground, air, and naval platforms including unmanned and robotic systems. Charlie has over 40 years of experience in cybersecurity, machine learning/AI, systems integration, software engineering, and network engineering. Prior to joining PacStar, Charlie provided his expertise to early-stage technology companies, where he created dozens of software and networking-based products. Charlie served as CEO of RuleSpace, Inc., which created ML-based technology for Internet parental controls used by companies such as AOL, Yahoo, SBC, BellSouth, and Microsoft. Charlie currently serves on the board of the Technology Association of Oregon, the OSU EECS Industry Advisory Board Executive Committee, the OSU ORTSOC advisory board and Mount Hood Community College Cybersecurity Advisory Board. He also serves on boards and consults with multiple startup companies. He is a venture partner for Oregon Venture Fund. This talk will be followed by a talk on the topic "*From Heatmaps to Structural Explanations*" by professor Fuxin Li on 13th October 2021. *Please watch this space for future AI Seminars: * * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> The AI Seminar has a strict "no electronics" and "no recordings" policy. -> For graduate students in the AI program, attendance is strongly encouraged.

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AI Seminar
by Prasad Tadepalli 29 Sep '21

29 Sep '21

All, Sorry for the unfortunate interruption of the AI Seminar. Here is a message from Prof. Goel. We'll re-schedule it when he is available and announce it. Thank you for your patience. Prasad ----------------------------------------------------------------------------------------------------------------------- Prasad, I am so sorry but apparently we had an internet outage in my neighborhood at 4:29 and I lost all services. Just got off talking with Comcast so that I could send you this message. My apologies. Please tell everyone I am very sorry. Thanks, Ashok Ashok Goel Professor, School of Interactive Computing Chief Scientist, Center for 21st Century Universities Fellow, Brook Byers Institute for Sustainable Systems Georgia Institute of Technology http://dilab.gatech.edu/ashok-k-goel/ <http://dilab.gatech.edu/ashok-k-goel/> Editor Emeritus, AI Magazine https://aaai.org/Magazine/magazine.php <https://aaai.org/Magazine/magazine.php> <https://aaai.org/Magazine/magazine.php> https://interactiveaimag.org/ <https://interactiveaimag.org/> <http://emprize.gatech.edu/>

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[eecs-grads] AI seminar: Sep 29 2021
by Mangannavar, Rajesh Devaraddi 29 Sep '21

29 Sep '21

Dear all, The first AI seminar (webinar) on *"NSF National AI Research Institute on Adult Learning and Online Education*" by Prof. Ashok Goel is scheduled to be on September 29 (Tomorrow), 1-2 PM PST. It is open to the public and will be followed by a 30 minute Q&A session by the graduate students. *Note*: This talk may be of interest to colleagues not only in AI and CS but also in cognitive science/psychology and learning science/education including distance education and professional education. Zoom link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *NSF National AI Research Institute on Adult Learning and Online Education * *Ashok K. Goel * School of Interactive Computing Georgia Institute of Technology *Abstract:* NSF has announced the establishment of a National AI Research Institute on Adult Learning and Online Education (ALOE). The ALOE Institute seeks to address the societal challenge of lifelong learning, workforce development, and reskilling and upskilling of millions of American workers each year. Online education offers an affordable medium for taking education to workers where they live; however, there remain serious questions about the quality of online education. ALOE will develop new AI technologies that enhance cognitive engagement, teacher presence and social interaction in online education, and thereby improve its quality for adult learners in STEM disciplines at least to the level of face-to-face learning. In addition to these use-inspired AI techniques, ALOE will conduct foundational AI research on personalization of learning at scale, interactive machine teaching to enable teachers and learners to develop their own cognitive assistants, mutual theory of mind to enable humans and AI assistants to better understand one another, and participatory design of sociotechnical systems for responsible AI. I will describe ALOE’s vision, goals and plans, using examples from my own research for illustration. *Bio**: *Ashok Goel is a Professor in the School of Interactive Computing at Georgia Institute of Technology and the Chief Scientist with Georgia Tech’s Center for 21st Century Universities. For over 35 years, he has conducted research into cognitive systems at the intersection of AI and cognitive science with a focus on computational design and creativity. Over the last decade, much of his research has focused on AI in education and education in AI. Ashok is the Founding Editor of AAAI’s *Interactive AI Magazine* established in 2020 (InteractiveAIMag.org) and Editor Emeritus of* AI Magazine. *In 2019, he was a Co-Chair of the 41st Annual Conference of the Cognitive Science Society*. *He is a Fellow of AAAI and in 2019 he received AAAI’s Outstanding AI Educator Award. This talk will be followed by a talk on the topic "*The Autonomous Weapons Systems Arms Race: Developments, Ethics and Advocacy" *by Mr Charlie Kawasaki on 6th October 2021. *Please watch this space for future AI Seminars: * * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> The AI Seminar has a strict "no electronics" and "no recordings" policy. -> For graduate students in the AI program, attendance is strongly encouraged.

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