IC3K 2024 (16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management) received 175 paper submissions from 47 countries. To evaluate each submission, a double‐blind paper review was performed by the Program Committee. After a stringent selection process, 37 papers were published and presented as full papers, i.e. completed work (12 The organizing committee included the IC3K Conference Chair: Jorge Bernardino, Polytechnic University of Coimbra, Portugal and the IC3K 2024 Program Chairs: David Aveiro, University of Madeira, NOVA- LINCS and ARDITI, Portugal, Antonella Poggi, Università di Roma "La Sapienza", Italy, Ana Fred, Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon), Portugal, Le Gruenwald, University of Oklahoma, School of Computer Science, United States, Elio Masciari, University of Napoli Federico II, Italy and Frans Coenen, University of Liverpool, United Kingdom. At the closing session, the conference acknowledged a few papers that were considered excellent in their class, presenting a "Best Paper Award", "Best Student Paper Award" and "Best Poster Award" for each of the co-located conferences. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series Book.

The substance of the symposium addressed the challenges in creating synergistic human and AI-based autonomous systems-of-systems. Recent advances in generative AI techniques (e.g., LLMs) have exacerbated the growing concerns associated with AI, held by researchers and the public alike, such as the risk, trust, ethics, and safety to the users and to the public from the operations of autonomous machines/AI alone in open situations. These concerns present major hurdles in the development of verified and validated engineered systems involving bi-directional pathways across the human-machine barrier; in this context, bi-directionality means understanding the design and operational consequences that the human may have on machine agents and the effects that machine or AI agents may have on humans. Current discussions on human-AI/machine interactions are unresolved or fragmented, focusing either on the impact that AI or machines may have on human stakeholders (including the relevant human factor considerations) or potential ways of involving humans or machines in computational or physical interventions (e.g., data annotations, human-machine behavior interpretations, operator-machine interventions). We believe the challenges associated with human-AI/machine collaborative systems cannot be adequately addressed if the underlying challenges associated with bi-directionality are not fully identified and taken into consideration.

Moreover, the program committee comprised researchers from 12 countries across five continents. The workshop featured six keynote speakers, oral sessions, poster sessions, a panel discussion, and a networking lunch. Of the 20 submitted papers, six were selected for oral and poster presentation, and an additional nine were selected for poster presentation only. The acceptance rate was, therefore, 75%. All accepted papers are published in the open-access workshop's proceedings at https://ceur-ws.org/Vol-3649/.

AAAI Awards were presented in February at AAAI-24 in Vancouver, Canada. Each year, the Association for the Advancement of Artificial Intelligence recognizes its members, esteemed members of the AI community, and promising students, with the following awards and honors. The AAAI Award for Artificial Intelligence for the Benefit of Humanity recognizes the positive impacts of artificial intelligence to protect, enhance, and improve human life in meaningful ways with long-lived effects. The winner of this year's award is Milind Tambe (Harvard University/Google Research). Milind has been recognized for "ground-breaking applications of novel AI techniques to public safety and security, conservation, and public health, benefiting humanity on an international scale."

During the final half-day of the AI-HRI symposium, the community was joined by the Unifying Representations for Robot Application Development (UR-RAD) symposium attendees to discuss needs, expectations, and preferences for future gatherings like TAHRI to maintain the welcoming, inclusive, and close community that has persisted throughout the ten years of AI-HRI. The AAAI Fall Symposium Series provided an opportunity ten years ago for researchers at the intersection of the fields of AI and HRI to come together in an attempt to identify where they belong when neither field's venues seemed to provide the correct fit for their research contributions, serving as a bridge between the two areas of study. As the community met and learned from each other over the past ten iterations of the symposium, it became clearer that AI-HRI is a unique field of study that is equally important to both fields and their venues--more importantly, these gatherings fostered a strong, supportive community that recognizes the challenges that their colleagues face trying to understand AI problems in HRI domains, as well as HRI problems surfacing as AI becomes more ubiquitous in society. Everyone wanted more time in break-out discussions due to the wonderful, productive conversations and networking, which is a testament to the community's positive and comfortable engagement between both familiar and new faces. Although the tenth anniversary marked the last AI-HRI at the AAAI Fall Symposium Series, the opportunities that the venue offered have made this the beginning of a new community.

Innovative Applications of Artificial Intelligence A special issue covering select applications from IAAI-23 pg.

NSF's AI Institutes Program Collaborative efforts to address society's grand challenges pgs.

The Workshop Program of the Association of the Advancement of Artificial Intelligence's 17th Conference on Web and Social Media (ICWSM-23) was held in Limassol, Cyprus from June 5-8. There were six workshops in the program: Disrupt, Ally, Resist, Embrace (DARE): Action Items for Computational Social Scientists in a Changing World, Images in Online Political Communication (PhoMemes 2023), Data for the Wellbeing of Most Vulnerable, Novel Evaluation Approaches for Text Classification Systems (NEATCLasS), Mediate 2023: News Media and Computational Journalism, and TrueHealth 2023: Combating Health Misinformation for Social Well-being. In the past decade, many sophisticated AI-powered tools have been developed and released to the scientific community and the public at large. At the same time, the socio-technical platforms that are at the center of our observations have transformed in unanticipated ways. Many of these developments have occurred against a backdrop of political and social polarization, and, public health and macroeconomic crises, which offer multiple lenses to contextualize (or distort) scientific reflexivity.

The Association for the Advancement of Artificial Intelligence's Inaugural Summer Symposium Series was held held at Singapore EXPO in Singapore, July 17-19, 2023. There were five symposia in the summer program: Second Symposium on Human Partnership with Medical AI: Design, Operationalization, and Ethics, AI x Metaverse, Building Connections: From Human-Human to Human-AI Collaboration, Artificial Intelligence for FinTech (AI4FinTech), and Embodied Intelligence. Building on the success of the inaugural symposium held in 2021, the second symposium on Human Partnership with Medical AI delved deeper into the critical components of Trust, Ethics, and Security in the design and operationalization of Clinical AI. This year, the event aimed to continue the discussions and collaborations that started in the previous symposium and explore new avenues of clinical utility, trustworthiness, robustness, and responsible AI. The symposium brought together researchers, clinicians, policymakers, and stakeholders from various domains to discuss the challenges and opportunities of AI-human partnership, share their latest research and insights, and develop actionable strategies to create trustworthy, ethical, and secure AI systems.