The following article is an extended abstract submitted as part of AAAI's Faculty Highlights Program. This article summarizes the New Faculty Highlights talk with the same title at AAAI 2021. Intelligent agents such as different types of robots will soon become an integral part of our daily lives. In real-world multi-agent systems, the most fundamental challenges are assigning tasks to multiple agents and planning collision-free paths for the agents. This article surveys four directions of our research on using intelligent planning techniques for the above coordination problems.

Is AI at Human Parity Yet? Approaching true human parity in commercial speech processing

The 10th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2022) will be held November 6-10th as a virtual conference. HCOMP is the premier venue for disseminating the latest research findings on human computation and crowdsourcing. While artificial intelligence (AI) and human-computer interaction (HCI) represent traditional mainstays of the conference, HCOMP believes strongly in fostering and promoting broad, interdisciplinary research. Our field is particularly unique in the diversity of disciplines it draws upon and contributes to, including human-centered qualitative studies and HCI design, social computing, artificial intelligence, economics, computational social science, digital humanities, policy, and ethics. We promote the exchange of advances in human computation and crowdsourcing not only among researchers but also engineers and practitioners to encourage dialogue across disciplines and communities of practice.

The 35th edition of the IEA/AIE2022 (International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems) was hosted in hybrid mode from July 19th to July 22nd, 2022, in Kitakyushu, Japan. IEA/AIE is an annual conference dedicated to advances related to the theory and applications of artificial intelligence that started in 1988 and has been hosted in over twenty countries. IEA/AIE 2022 was organized in cooperation with the American Association of Artificial Intelligence (AAAI), the ACM Special Interest Group on Artificial Intelligence (SIGAI) and has received the support of Springer, the International Society of Applied Intelligence (ISAI), Kitakyushu city, Universiti Teknologi Malaysia, i-SOMET Inc., and several other international Organizations. The conference had a main track and five special sessions for emerging topics in applied intelligence, named Spatiotemporal Big Data Analytics (SBDA 2022), Intelligent Systems and e-Applications (ISeA 2022), Collective Intelligence in Social Media (CISM 2022), Multi-Agent Systems and Metaheuristics for Complex Problems (MASMCP 2022), and Intelligent Knowledge Engineering in Decision Making Systems (IKEDS 2022). All the submissions were peer-reviewed by at least three reviewers following a double-blind process.

The pre-conference day included a wide array of workshops and tutorials, spanning a range of topics. The tutorials covered the latest techniques in machine learning (including deep learning and BERT), information extraction, causal inference, word embeddings, and the use of Twitter API v2, and addressed use cases including mis/disinformation and business decision making. The workshops included those on Cyber Social Threats (CySoc), Social Sensing (SocialSens): Special Edition on Belief Dynamics, Images in Online Political Communication (PhoMemes), Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), Social Media for Emergency Response (SoMER), Data for the Wellbeing of Most Vulnerable, and News Media and Computational Journalism (MEDIATE). A Data Challenge was also held on this day, with a special focus on Health-Related Discourse on the Web. For the main conference, 454 reviewers and 86 senior PC members evaluated 455 papers submitted to the conference, with 122 being accepted for publication.

There will always be interactions between machines and humans. When the machine has a high level of autonomy and the human-machine relationship is close, there will be underpinning, implicit assumptions about behavior and mutual trust. The performance of the Human-Machine team will be maximized when a partnership is formed that is based on providing mutual benefits. Designing systems that include human-machine partnerships requires an understanding of the rationale of any such relationship, the balance of control, and the nature of autonomy. Essential first steps are to understand the nature of human-machine cooperation, to understand synergy, interdependence, and discord within such systems, and to understand the meaning and nature of "collective intelligence."

The Workshop Program of the Association for the Advancement of Artificial Intelligence's Thirty-Sixth Conference on Artificial Intelligence was held virtually from February 22 – March 1, 2022. There were thirty-nine workshops in the program: Adversarial Machine Learning and Beyond, AI for Agriculture and Food Systems, AI for Behavior Change, AI for Decision Optimization, AI for Transportation, AI in Financial Services: Adaptiveness, Resilience & Governance, AI to Accelerate Science and Engineering, AI-Based Design and Manufacturing, Artificial Intelligence for Cyber Security, Artificial Intelligence for Education, Artificial Intelligence Safety, Artificial Intelligence with Biased or Scarce Data, Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations, Deep Learning on Graphs: Methods and Applications, DE-FACTIFY: Multi-Modal Fake News and Hate-Speech Detection, Dialog System Technology Challenge, Engineering Dependable and Secure Machine Learning Systems, Explainable Agency in Artificial Intelligence, Graphs and More Complex Structures for Learning and Reasoning, Health Intelligence, Human-Centric Self-Supervised Learning, Information-Theoretic Methods for Casual Inference and Discovery, Information Theory for Deep Learning, Interactive Machine Learning, Knowledge Discovery from Unstructured Data in Financial Services, Learning Network Architecture during Training, Machine Learning for Operations Research, Optimal Transports and Structured Data Modeling, Practical Deep Learning in the Wild, Privacy-Preserving Artificial Intelligence, Reinforcement Learning for Education: Opportunities and Challenges, Reinforcement Learning in Games, Robust Artificial Intelligence System Assurance, Scientific Document Understanding, Self-Supervised Learning for Audio and Speech Processing, Trustable, Verifiable and Auditable Federated Learning, Trustworthy AI for Healthcare, Trustworthy Autonomous Systems Engineering, and Video Transcript Understanding. This report contains summaries of the workshops, which were submitted by most, but not all the workshop chairs.

Highlights from the current issue: NSF Convergence Accelerator Transitioning research to practice for societal impact The Third AI Summer Exploring recurring themes in AI history and the future of AI Challenges in ConvAI Evaluation Problems behind evaluating creative and mature ConvAI systems View Current Issue : https://onlinelibrary.wiley.com/toc/23719621/2022/43/1