From wetransfertautonlab.org at plofoundation.org Fri Aug 2 01:42:24 2024 From: wetransfertautonlab.org at plofoundation.org (Document-PO-432221-Via-ShareDoc-We-Transfer) Date: Thu, 1 Aug 2024 22:42:24 -0700 Subject: wE transfer document PO Inv 3rd instalmental Message-ID: <01232024084222714CA55AE0-8744506B6A@plofoundation.org> From awd at cs.cmu.edu Wed Aug 7 14:24:23 2024 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Wed, 7 Aug 2024 14:24:23 -0400 Subject: Check this out: A young gentleman observing proper dress code while receiving prizes in math competitions Message-ID: Team, I am sooo proud to have lived long enough to witness the Auton Kids starting their unstoppable march to take over the world! Please check this out: Tomi Li (our beloved Professor Karen Chen's son) received a runners-up recognition in the recent edition of the Strogatz Prize for Math Communication for his intriguing work on quaternions: https://momath.org/the-steven-h-strogatz-prize-for-math-communication/strogatz-prize-2024-winners/ Tomi is still a high schooler. When he was in primary school, he was the first test case for half of Karen's thesis in which she studied how to assess the effectiveness of mentorship of such kids on their math problem solving skills. If anyone would like to look for a doctoral dissertation with tangible results downstream, look no further (not diminishing Tomi's impressive pure talents). This is all really very cool. Congratulations to Tomi! [and to his Mom!] And, I must praise the Young Gentleman for his choice of attire to wear to the awards ceremony. I hope this is a way of signaling his desired academic destination :) Cheers, Artur PS I have already shared the news of Karen's CAREER award. But recently, her school has issued this nice press release to capitalize on the achievement: https://umbc.edu/stories/karen-chen-nsf-career-award-student-data/ PSPS Karen, can you please forward our congrats to Tomi? And, when is he coming here as an intern? -------------- next part -------------- An HTML attachment was scrubbed... URL: From awd at cs.cmu.edu Mon Aug 12 11:14:38 2024 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Mon, 12 Aug 2024 11:14:38 -0400 Subject: Fwd: RI Ph.D. Thesis Proposal: Anthony Wertz In-Reply-To: References: Message-ID: Team, Come and see a veteran Autonian in action. Good luck Anthony! Cheers Artur ---------- Forwarded message --------- From: Suzanne Muth Date: Mon, Aug 12, 2024, 11:07?AM Subject: RI Ph.D. Thesis Proposal: Anthony Wertz To: RI People *Date:* 20 August 2024 *Time:* 3:00 p.m. (ET) *Location:* NSH 1305 *Zoom Link:* N/A *Type:* Ph.D. Thesis Proposal *Who:* Anthony Wertz *Title:* Sensorized Soft Material Systems with Integrated Electronics and Computing *Abstract:* The integration of soft and multifunctional materials in emerging technologies is becoming more widespread due to their ability to enhance or improve functionality in ways not possible using typical rigid alternatives. This trend is evident in various fields. For example, wearable technologies are increasingly designed using soft materials to improve modulus compatibility with biological systems and employing conformable interfaces for electrodes for enhanced signal integrity and user comfort. Likewise, surgical tools are leveraging soft material systems to reduce the risk of tissue damage through their inherent compliance. Soft material systems are also being incorporated into robots to improve safety in human-robot interactions, as in co-working and assistive applications. However, the same lack of rigidity and complex constitutive behavior that make these material systems useful in emerging applications also present challenges in fully exploiting their capabilities. Soft substrates are continuously deformable and, without rigid constraints or simplifying operational assumptions, state inference can be difficult or impossible. In systems that exploit dynamic material properties, such as those using shape-memory alloys for actuation or thermoplastic polymers for stiffness tuning, system behavior is challenging to model from a controls perspective due to internal states that are difficult or impossible to measure in real time. Exploiting these materials effectively requires improved sensor integration and device co-design. Here I discuss how sensing can be integrated to harness the inherent functionality of these non-traditional materials while preserving their novel properties and minimizing unnecessary design complexity. I first examine integration into existing systems, highlighting both the potential benefits and challenges of approaching sensorization in this way. Then I propose a more holistic design approach that embraces a synergistic relationship between material systems and their embedded sensors. *Thesis Committee Members:* Carmel Majidi, Chair Oliver Kroemer Sarah Bergbreiter Cynthia Hipwell, Texas A&M University A copy of the thesis proposal document is available here . -------------- next part -------------- An HTML attachment was scrubbed... URL: From awd at cs.cmu.edu Mon Aug 12 11:57:13 2024 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Mon, 12 Aug 2024 11:57:13 -0400 Subject: Fwd: AI & Healthcare Symposium in Pittsburgh on August 16 In-Reply-To: <1723478129967.da773fa6-9044-4894-8aad-447ed6995b3d@bf03.hubspotemail.net> References: <1723478129967.da773fa6-9044-4894-8aad-447ed6995b3d@bf03.hubspotemail.net> Message-ID: Easy commute to this one :) ---------- Forwarded message --------- From: Pittsburgh Regional Health Initiative Date: Mon, Aug 12, 2024, 11:55?AM Subject: AI & Healthcare Symposium in Pittsburgh on August 16 To: Explore how AI is revolutionizing health care and how Pittsburgh is leading the way. Hosted by the Biotechnology Board featuring esteemed leaders from Pitt & CMU. [image: RAPS] AI & Healthcare Symposium 2024 Friday, August 16 | 10AM ? 4PM Alan Magee Scaife Hall, 3550 Terrace St, Pittsburgh, PA 15261 University of Pittsburgh School of Medicine The Pittsburgh Regional Health Initiative and Jewish Healthcare Foundation would like to invite you to attend this Friday's AI & Healthcare Symposium at the University of Pittsburgh School of Medicine, hosted by the Biotechnology Board. The Biotechnology Board is proud to bring together top experts and innovators to explore how AI is revolutionizing health care, and how Pittsburgh is leading the way. At this event, dive into AI-driven diagnostics, personalized medicine, telehealth, and more through keynotes, panels, and workshops. [image: AI & Healthcare Symposium] The symposium features an exclusive screening of The Pitch: Patient Safety's Next Generation and a fireside chat with Dean Anantha Shekhar and Dean Ramayya Krishnan moderated by our President and CEO Karen Wolk Feinstein. View the full agenda here . There is no cost to attend. Please register in advance using the link below. *Register for the Symposium here* Pittsburgh Regional Health Initiative, 625 Liberty Ave, Ste. 2500, Pittsburgh, PA 15222, USA , 412-594-2550 Unsubscribe Manage preferences -------------- next part -------------- An HTML attachment was scrubbed... URL: From awd at cs.cmu.edu Thu Aug 22 02:44:21 2024 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Thu, 22 Aug 2024 02:44:21 -0400 Subject: Fwd: Humane Intelligence launches a NIST supported, nation-wide generative AI red teaming event In-Reply-To: References: Message-ID: Certainly of interest and could be a fun loaded experience. Artur ---------- Forwarded message --------- From: Ramayya Krishnan Date: Wed, Aug 21, 2024, 11:07?PM Subject: Fwd: Humane Intelligence launches a NIST supported, nation-wide generative AI red teaming event To: , < Block-center-affiliated-faculty at lists.andrew.cmu.edu>, < heinz-smt at lists.andrew.cmu.edu>, , < Heinz-all-faculty at lists.andrew.cmu.edu>, < heinz-allmasters at lists.andrew.cmu.edu>, William Sanders , Martial Hebert , Zico Kolter , Mona Diab , Nicolas Christin Dear Colleagues, FYI. of interest to many of you. Krishnan ---------- Forwarded message --------- From: Rumman Chowdhury Date: Wed, Aug 21, 2024 at 11:27?AM Subject: Humane Intelligence launches a NIST supported, nation-wide generative AI red teaming event To: Kristian Lum , Patrick Hall , Schwartz, Reva B. (Fed) , Rishi Bommasani < rishibommasani at gmail.com>, , , Seraphina Goldfarb-Tarrant , , < jiahchen at oti.nyc.gov>, Aleksandra Korolova , David Haber , Eric Horvitz , Ramayya Krishnan Cc: Theodora Skeadas Dear Bias Bounty board members, We are excited to introduce a truly innovative step forward in the public evaluation of Generative AI systems. Humane Intelligence announces a U.S.-wide red-teaming event as part of NIST's ARIA pilot evaluation of large language model (LLM) risks. Tech nonprofit Humane Intelligenc e announces a nation-wide call for participation by US residents interested in finding flaws in Generative AI models as well as model owners building GenAI-based office productivity tools. The online competition will serve as a qualifier for an in-person red teaming and blue teaming competition, supported by NIST, to be held alongside CAMLIS, an AI security conference. More details below and at this link . If you have any questions, please let me know. We'd appreciate any amplification to your respective networks. *** Call for Participation NIST-Supported Nationwide AI Red-Teaming Exercise Overview We are excited to announce an upcoming AI red-teaming exercise supported by the U.S. National Institute of Standards And Technology (NIST). We are recruiting: - Individuals interested in red teaming models online (for the qualifying exercise) OR in-person - Model developers building generative AI office productivity software, including coding assistants, text and image generators, research tools, and more, and associated blue teams Our goal is to demonstrate capabilities to rigorously test and evaluate the robustness, security, and ethical implications of cutting-edge AI systems through adversarial testing and analysis. This exercise is crucial for helping to ensure the resilience and trustworthiness of AI technologies. Participation requirements Individuals seeking to red team: Virtual qualifier To participate, interested red teamers will need to enroll in the qualifying event, a NIST ARIA (Assessing Risks and Impacts of AI) pilot exercise. In the ARIA pilot, red teaming participants will seek to identify as many violative outcomes as possible using predefined test scenarios as part of stress tests of model guardrails and safety mechanisms. This virtual qualifier will draw participants from anyone residing in the US. For more details on ARIA and related scenarios, see here . Red teaming participants who pass the ARIA pilot qualifying event will be able to take part in an in-person red teaming exercise held during CAMLIS (October 24-26). In-person event: This in-person exercise will include a hosted red team and blue team evaluation using office productivity software that employs GenAI models. The in-person exercise will use the ?Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1),? as the operative rubric for violative outcomes. During testing, red teamers will engage in adversarial interactions with developer-submitted applications on a turn-by-turn basis. An analysis will aggregate the scores for a final report. The challenge will be a capture-the-flag (CTF)-style points-based evaluation, which will be verified by in-person event assessors. Who Should Participate: Applications from individuals with diverse expertise are encouraged, including but not limited to: - AI researchers and practitioners - Cybersecurity professionals - Data scientists - Ethicists and legal professionals - Software engineers - Policymakers and regulators Participation requirements for companies donating their models: Model owners interested in participating in the in-person red teaming event will be required to meet the following criteria: 1. The model or product must utilize Generative AI technology. 2. The model or product must be designed for workplace productivity. This is broadly defined as: any technology enabling communication, coding, process automation, or any reasonably expected activity in a technology-enabled workplace that utilizes popular inter-office software such as: chat, email, code repositories, and shared drives. 3. The model or product owner must be willing to have their model tested for both positive and negative impacts related to: vulnerability discovery, including program verification tools, automated code repair tools, fuzzing or other dynamic vulnerability discovery tools, and adversarial machine learning tools or toolkits. 4. Optionally provide blue team support. Full Event Details: - Dates: - August 21, 2024: Application opens - September 9, 2024, 11:59 PM ET: Application for participants closes - September 16, 2024: Pilot launches US-wide - October 4, 2024: Pilot closes - October 11, 2024: Those selected for the in person event announced and notified - October 24-25, 2024: CAMLIS in-person event Objectives: This event will demonstrate: - A test of the potential positive and negative uses of AI models, as well as a method of leveraging positive use cases to mitigate negative. - Use of NIST AI 600-1 to explore GAI risks and suggested actions as an approach for establishing GAI safety and security controls. Participation Benefits: - Contribute to the advancement of secure and ethical AI. - Network with leading experts in AI and cybersecurity, including in U.S. government agencies. - Gain insights into cutting-edge AI vulnerabilities and defenses. - Participants in the qualifying red teaming event may be invited to participate in CAMLIS, scheduled for October 24-25, 2024 in Arlington, VA. All expenses for travel, food and lodging during this time will be covered. How to Apply: Interested individuals and model owners are requested to fill out this Google Form by Saturday, September 14, 2024, at 11:59 PM ET. Contact Information For any inquiries or further information, please contact Rumman Chowdhury and Theodora Skeadas (hi at humane-intelligence.org) at Humane Intelligence . We look forward to your participation and to making strides towards a safer and more ethical AI future together. _______________________________________________ Heinz-all-faculty mailing list Heinz-all-faculty at lists.andrew.cmu.edu https://lists.andrew.cmu.edu/mailman/listinfo/heinz-all-faculty _______________________________________________ Heinz-affiliate-faculty mailing list Heinz-affiliate-faculty at lists.andrew.cmu.edu https://lists.andrew.cmu.edu/mailman/listinfo/heinz-affiliate-faculty -------------- next part -------------- An HTML attachment was scrubbed... URL: From awd at cs.cmu.edu Fri Aug 30 09:29:50 2024 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Fri, 30 Aug 2024 09:29:50 -0400 Subject: Fwd: Upcoming Seminar: Neil Thompson, Monday Faculty Research Seminar In-Reply-To: References: Message-ID: This talk may be of broad interest to many of us. Artur ---------- Forwarded message --------- From: Becky Shock Date: Fri, Aug 30, 2024 at 9:09?AM Subject: Upcoming Seminar: Neil Thompson, Monday Faculty Research Seminar To: , < heinz-phd at lists.andrew.cmu.edu>, Holly Wiberg , Anna Mayo , Evelyn Xiaoyue Gong < exiaoyue at andrew.cmu.edu>, Manasvini Singh , Tom Mitchell , Christophe Combemale < ccombema at andrew.cmu.edu>, Kait Pendrak , Brittany Calderon , , Steven Wray < swray2 at andrew.cmu.edu>, Becky Shock Upcoming Seminar: Neil Thompson, Monday Faculty Research Seminar -- Upcoming Seminar: Neil Thompson, Monday Faculty Research Seminar Monday Sep 9, 2024 ? 12:30pm ? 1:40pm (Eastern Time - New York) Please join us on *Monday, September 9th* from *12:30 PM ? 01:40 PM* in *Hamburg Hall, Room 1002* as part of the Monday Faculty Research Seminar (MFRS). Lunch will be provided during the seminar. *Presenter: *Neil Thompson is the Director of the FutureTech research project at MIT?s Computer Science and Artificial Intelligence Lab and a Principal Investigator at MIT?s Initiative on the Digital Economy. ?Previously, he was an Assistant Professor of Innovation and Strategy at the MIT Sloan School of Management, where he co-directed the Experimental Innovation Lab (X-Lab), and a Visiting Professor at the Laboratory for Innovation Science at Harvard. He has advised businesses and government on the future of Moore?s Law, has been on National Academies panels on transformational technologies and scientific reliability, and is part of the Council on Competitiveness? National Commission on Innovation & Competitiveness Frontiers. He has a PhD in Business and Public Policy from Berkeley, where he also did Masters degrees in Computer Science and Statistics. He also has a masters in Economics from the London School of Economics, and undergraduate degrees in Physics and International Development. Prior to academia, He worked at organizations such as Lawrence Livermore National Laboratory, Bain and Company, the United Nations, the World Bank, and the Canadian Parliament. *Title: *Beyond AI Exposure: Which Tasks are Cost-Effective to Automate? *Abstract: *The faster AI automation spreads through the economy, the more profound its potential impacts, both positive (improved productivity) and negative (worker displacement). The previous literature on ?AI Exposure? cannot predict this pace of automation since it attempts to measure an overall potential for AI to affect an area, not the technical feasibility and economic attractiveness of building such systems. In this article, we present a new type of AI task automation model that is end-to-end, estimating: the level of technical performance needed to do a task, the characteristics of an AI system capable of that performance, and the economic choice of whether to build and deploy such a system. The result is a first estimate of which tasks are technically feasible and economically attractive to automate - and which are not. In this talk, I will present our results using this model for computer vision and show how it differs dramatically from exposure models. I will also discuss our on-going work to extend this analysis to large language models. The *schedule to reserve* your time to meet with Neil Thompson is now open*: **Seminar Scheduler* Please reach out with any questions to the host: Professors Holly Wiberg, *hwiberg at andrew.cmu.edu * and Anna Mayo, atmayo at andrew.cmu.edu LocationHBH 1002 View map Organizer Heinz Events heinz-events at andrew.cmu.edu Guests _______________________________________________ Heinz-all-faculty mailing list Heinz-all-faculty at lists.andrew.cmu.edu https://lists.andrew.cmu.edu/mailman/listinfo/heinz-all-faculty _______________________________________________ Heinz-affiliate-faculty mailing list Heinz-affiliate-faculty at lists.andrew.cmu.edu https://lists.andrew.cmu.edu/mailman/listinfo/heinz-affiliate-faculty -------------- next part -------------- An HTML attachment was scrubbed... URL: