Tutorial Slides. Considerable research attention has focused on improving the raw performance of AI and ML systems, but much less on the best ways to facilitate effective human-AI interaction. Due to their probabilistic behavior and inherent uncertainty, AI-based systems are fundamentally different from traditional computing systems and mismatches between AI capabilities and user experience UX design can cause frustrating and even harmful outcomes.

Therefore, the development of and deployment of beneficial AI systems affording appropriate user experiences requires guidelines to help AI developers make informed decisions with respect to model selection, objective function design, and data collection. This tutorial will introduce the audience with a comprehensive set of guidelines for building systems and interfaces designed for fluid human-AI interaction. Most importantly, the tutorial will also reflect upon the research and engineering challenges whose solutions can enable the implementation of such guidelines for real-world AI systems.

This is the first time this tutorial is being organized and we hope it will promote an inter-community discussion on how to build and deploy human-centered machine learning. The audience needs to be familiar with basic concepts in AI and ML, such as training and validation, optimization techniques, and objective functions. For feedback and questions please reach us at aiguidelines microsoft.

An introduction to user interaction guidelines as they relate to AI-based systems. This will include a discussion of the limitations of traditional guidelines in supporting AI and an overview of the new guidelines for human-AI interaction.

The human-AI interaction guidelines will be explained through real-world examples from our user studies and follow-up evaluations. A summary of implications and pre-requisites that human-AI collaboration in general and the presented guidelines in particular pose on algorithm design, engineering, and tool infrastructure. Mapping current active challenges in machine learning with the presented guidelines. Decision-theoretic fundamentals of mixed-initiative and adaptive interfaces.

Principles of explicable, legible, predicable and transparent AI. Algorithms for explaining learned classifiers and UI tradeoffs in communicating explanations. Horvitz, Eric. ACM, Weld, Walter S. Lasecki, and Eric Horvitz. Lasecki, Daniel S. Weld, and Eric Horvitz. Daniel S. Weld, and Gagan Bansal. Forough Poursabzi-Sangdeh, Daniel G.

Goldstein, Jake M. This site uses cookies for analytics, personalized content and ads. By continuing to browse this site, you agree to this use.

The Ethics of AI – Francesca Rossi, PhD - Lecture Series on AI #6 - J.P. Morgan

Learn more.More information will be posted here in the next month with information on how to register and participate. Registration will be available in late April, and fees will reflect the significantly lower cost associated with the a virtual meeting, while still covering the expenses that have and will be incurred to produce a successful event for all participants.

The production of the proceedings will continue as planned, and papers will be posted in the AAAI Digital Library by the time of the virtual meeting. We appreciate your patience while organizers investigate possible solutions. We will post developments as soon as more information is available. The International AAAI Conference on Web and Social Media ICWSM is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media.

This overall theme includes research in new perspectives in social theories, as well as computational algorithms for analyzing social media. ICWSM is a singularly fitting venue for research that blends social science and computational approaches to answer important and challenging questions about human social behavior through social media while advancing computational tools for vast and unstructured data.

ICWSM, now in its fourteenth year, has become one of the premier venues for computational social science, and previous years of ICWSM have featured papers, posters, and demos that draw upon network science, machine learning, computational linguistics, sociology, communication, and political science. For ICWSM, in addition to the usual program of contributed talks, posters and demos, the main conference will include a selection of keynote talks from prominent scientists and technologists.

Building on successes in previous years, ICWSM will also hold a day of workshops and tutorials in addition to the main conference. The reviewing process will be similar to that in the edition. Authors who receive the "Accept" recommendation will have the opportunity to respond to reviewer suggestions by making minor edits when preparing the camera-ready version.

Authors who receive the "Revise and Resubmit" recommendation will have the opportunity to address reviewer suggestions and resubmit an improved manuscript in the next submission deadline. Papers accepted to this track will be presented as full-length presentations integrated with the conference, and they will be published as journal articles in the ICWSM proceedings.

For submission guidelines, please refer to the guidelines. This option is for researchers in social science and sociophysics who wish to submit works without publication in the conference proceedings. While papers in this track will not be published, we expect these submissions to describe the same high-quality and complete work as the main track submissions. Papers accepted to this track will be presented either as full or poster presentations integrated with the conference, but they will be published only as abstracts in the conference proceedings.

Papers submitted to this track will be reviewed through the same reviewing mechanism as full papers. Dataset Paper Format: Dataset paper submissions must comprise two parts: a dataset or group of datasets, and metadata describing the content, quality, structure, potential uses of the dataset sand methods employed for data collection.For the time being, we encourage you to reach out to staff via email. View the staff directory.

The authors of all posters, oral abstract presentations, and case reports originally scheduled for the AAAAI Annual Meeting were invited to submit their work to be featured in the Virtual Poster Hall.

Each virtual poster or oral session includes a link to a discussion board where you can post questions for the abstract authors. The posters and oral abstracts are displayed based on their slotting in the Annual Meeting program. The Board of Directors made the difficult decision to cancel the meeting due to many factors, including the number of speaker cancellations due to travel restrictions and new Centers for Disease Control and Prevention travel guidance.

Click here to read the additional details.

AAAI Conference on Artificial Intelligence (AAAI)

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Annual Meeting Updates. Online Program. Program PDF. Read more. CDC Situation Summary. Learn more about Dr.

aaai 2020 proceedings

Listen to the Podcast. Cookie Notice.Organizations for diversity, equity, inclusion, and belonging often emphasize participants from underrepresented populations, which in artificial intelligence includes but is not limited to women, LGBT persons, and persons of color e.

Meanwhile, many service and outreach workshops, such as those devoted to AI for Social Good at AAAI and the Grace Hopper Conference sessions on technology transfer to rural communities, provide opportunities for technologists to learn about the needs of underserved populations and to in turn give back to some of these communities.

Many participants, including the organizers of this workshop, attended both of these kinds of workshops and expressed a wish to find a way to link these communities. Recognizing intrinsic links between students from underserved populations such as isolated, underprivileged, and underrepresented communities and the frequent incidence among these students of intersectional identity and a desire to help their communities, this AAAI workshop on Diversity in AI: Mentoring Students from Underserved Populations will be held on Friday, February 7, It will consist of a three-hour workshop and panel session on the first day of the AAAI conference.

Short papers page abstracts, position papers and long papers page surveys, studies, and articles on outreach and education praxis are invited. For this workshop, we are interested both on best practices and challenges and opportunities for mentoring students from populations that in the past and present have been underserved. All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:.

Topics artificial intelligence education diversity outreach.

aaai 2020 proceedings

Eliminating self-selection: Using data science for authentic undergraduate research in a first-year introductory course - Dr. Lior Shamir. Pablo Rivas.The purpose of the AAAI conference series is to promote research in artificial intelligence AI and foster scientific exchange between researchers, practitioners, scientists, students, and engineers in AI and its affiliated disciplines. It will continue the tradition of previous AAAI conferences with technical paper presentations, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, all selected according to the highest standards.

AAAI will also include additional programs for students and young researchers. AAAI welcomes submissions reporting research that advances artificial intelligence, broadly conceived.

The conference scope includes all subareas of AI and machine learning. These include but are not limited to traditional topics such as search, planning, knowledge representation, reasoning, natural language processing, robotics and perception, multiagent systems, statistical learning, and deep learning. We expressly encourage work that cuts across technical areas, or develops AI techniques in the context of important application domains, such as healthcare, sustainability, transportation, and commerce.

As inthe AAAI Program Cochairs have absorbed all former special tracks into the main conference technical program, with provision for distinguished oversight of reviews for these areas. Further details are available on the emerging topics page. Authors must register at the AAAI web-based technical track paper submission site before they submit their abstracts and papers.

The software will assign a password, which will enable the author to log on to submit an abstract and paper. To avoid last-minute congestion, authors are encouraged to register well in advance of the August 30 abstract deadline.

Association for the Advancement of Artificial Intelligence

According to AAAI policy, all author names must be added at the time of abstract registration, and the list of names as well as the order in which they appear cannot be changed after the final paper deadline September 5, In addition, the contact author and contact information cannot change after the abstract submission deadline of August 30, As usual, every submission requires both an abstract submission and a corresponding paper submission.

There is no option to submit only an abstract, and every paper must be accompanied by an abstract submission. Abstract submission is required by August 30, Authors should include a full title for their paper, as well as a complete abstract in the fields provided.

Authors of such vacuous submissions will be notified that their abstract has been deleted and will not be allowed to submit a full paper on September 5, Papers must be formatted in AAAI two-column, camera-ready style; see the author kit for details available July AAAI submissions are anonymous, and must conform to the instructions detailed below for double-blind review. Submissions may have up to 8 pages with page 8 containing nothing but references.

For final papers, authors may purchase up to two additional pages in the proceedings see below for details. The last page of final papers may contain text other than references, but all references in the submitted paper should appear in the final version, unless superseded.The purpose of the AAAI conference series is to promote research in artificial intelligence AI and foster scientific exchange between researchers, practitioners, scientists, students, and engineers in AI and its affiliated disciplines.

It will continue the tradition of previous AAAI conferences with technical paper presentations, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, all selected according to the highest standards.

AAAI will also include additional programs for students and young researchers. Topics AAAI welcomes submissions reporting research that advances artificial intelligence, broadly conceived.

The conference scope includes all subareas of AI and machine learning. These include but are not limited to traditional topics such as search, planning, knowledge representation, reasoning, natural language processing, robotics and perception, multiagent systems, statistical learning, and deep learning.

We expressly encourage work that cuts across technical areas, or develops AI techniques in the context of important application domains, such as healthcare, sustainability, transportation, and commerce. As inthe AAAI Program Cochairs have absorbed all former special tracks into the main conference technical program, with provision for distinguished oversight of reviews for these areas.

Further details are available on the emerging topics page. Author Registration Authors must register at the AAAI web-based technical track paper submission site before they submit their abstracts and papers. The software will assign a password, which will enable the author to log on to submit an abstract and paper. To avoid last-minute congestion, authors are encouraged to register well in advance of the August 30 abstract deadline.

According to AAAI policy, all author names must be added at the time of abstract registration, and the list of names as well as the order in which they appear cannot be changed after the final paper deadline September 5, In addition, the contact author and contact information cannot change after the abstract submission deadline of August 30, Abstract and Paper Submission As usual, every submission requires both an abstract submission and a corresponding paper submission.

There is no option to submit only an abstract, and every paper must be accompanied by an abstract submission. Abstract submission is required by August 30, Authors should include a full title for their paper, as well as a complete abstract in the fields provided. Authors of such vacuous submissions will be notified that their abstract has been deleted and will not be allowed to submit a full paper on September 5, Papers must be formatted in AAAI two-column, camera-ready style; see the author kit for details available July AAAI submissions are anonymous, and must conform to the instructions detailed below for double-blind review.

Submissions may have up to 8 pages with page 8 containing nothing but references. For final papers, authors may purchase up to two additional pages in the proceedings see below for details. The last page of final papers may contain text other than references, but all references in the submitted paper should appear in the final version, unless superseded. The AAAI copyright block is not required on submissions, but must be included on final versions.

Papers that do not meet the submission requirements will be rejected without review.To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F. Add open access links from to the list of external document links if available.

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AAAI Digital Library Conference Proceedings

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aaai 2020 proceedings

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