Submissions are invited for the 31st International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2022), which is planned to be held in Vienna, Austria, from July 23rd to July 29th, 2022. Starting from 1969, IJCAI has remained the premier conference bringing together the international AI community to communicate the advances and achievements of artificial intelligence research. Submissions to IJCAI-ECAI 22 should report on significant, original, and previously unpublished results on any aspect of artificial intelligence. Papers on novel AI research problems, on AI techniques for novel application domains, and papers that cross discipline boundaries within AI are especially encouraged. A selection of the best papers submitted to IJCAI-ECAI 2022 will be invited for a fast track in Artificial Intelligence and/or the Journal of AI Research.

Artificial Intelligence (AI), defined as "a system's ability to interpret external data correctly, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation" (Kaplan and Haenlein 2019, p. 17), is one of the most popular topics across a variety of academic disciplines, industry sectors, and business functions, and widely influences society at large. While many will first think of computational, organizational, or technological issues related to AI, there is an entire set of ethical dimensions triggered by this new era which urgently need to be analyzed, discussed, and reflected upon. As pointed out by Martin and Freeman (2004, p. 353) "business ethicists are uniquely positioned to analyze the relationship between business, technology, and society". There are many examples where inappropriate use of AI has resulted in unethical outcomes and behavior. Examples include image recognition services which make offensive classifications of minorities due to biased algorithms; Microsoft's AI chatbot Tay which became racist and adopted hate speech after only one day; and Amazon's facial recognition technology which simply failed to recognize users with darker skin colors.

The event is hosted by the Division of Speech, Music and Hearing, School of Electrical and Computer Engineering, KTH in collaboration with the Royal Conservatory of Music (KMH). The computational simulation of musical creativity continues to be an exciting and significant area of academic research, and is now making impacts in commercial realms. Such systems pose several theoretical and technical challenges, and are the result of an interdisciplinary effort that encompasses the domains of music, artificial intelligence, cognitive science and philosophy. The 2020 Joint Conference on AI Music Creativity brings together for the first time two overlapping but distinct research forums: The Computer Simulation of Music Creativity conference (est. The principal goal is to bring together scholars and artists interested in the virtual emulation of musical creativity and its use for music creation, and to provide an interdisciplinary platform to promote, present and discuss their work in scientific and artistic contexts.

While artificial intelligence may be powering Siri, Google searches, and the advance of self-driving cars, many people still have sci-fi-inspired notions of what AI actually looks like and how it will affect our lives. AI-focused conferences give researchers and business executives a clear view of what is already working and what is coming down the road. To bring AI researchers from academia and industry together to share their work, learn from one another, and inspire new ideas and collaborations, there are a plethora of AI-focused conferences around the world. There's a growing number of AI conferences geared toward business leaders who want to learn how to use artificial intelligence and related machine learning and deep learning to propel their companies beyond their competitors. So, whether you're a post-doc, a professor working on robotics, or a programmer for a major company, there are conferences out there to help you code better, network with other researchers, and show off your latest papers.

Organised by The Artificial Research Centre, Brunel University London, in association with the British Academy of Management (E-Business / Government, Organisational Transformation, Change and Development and Strategy SIGs) The next generations of technological development driven by Artificial Intelligence (AI) are unlike anything we have seen before. Data is the fuel used to drive the development in the Big Data era. Business leaders, policy makers and the public are only just the beginning to grasp the unquenchable thirst algorithms have for data. Many human activities are already being tracked and traced using smart sensors, apps, mobile devices and wearable tech. As things we come into contact with become part of the internet of things, so our every move will generate more data about us, our behaviours, habits, preferences and displeasures.

In October 2017, after much discussion and surveying, the Association for Computational Linguistics (ACL) adopted new policies on submission, review, and citation. A key change was to disallow conference submission of papers that have been posted or updated as non-anonymous preprints during a period from one month before the submission deadline until after results are announced. I have seen several online discussions mainly critical of this preprint policy, variously describing it with terms like "idiotic" and "ineffective". I think the ACL has failed to sufficiently explain to people the thinking and discussion underlying this aspect of the policy, so here is my attempt to do so. Speeding up the rate of scientific progress by fast dissemination of results is a good thing.