Call for Papers: Special Session on AI and Game Production, ICONIP 2024

AI and Game Production

Artificial Intelligence is an integral element of game development, where AI has been an effective tool for compelling gameplay experiences such as the use of non-player characters or intelligent agents to enhance player experience and engagement by offering adaptive and/or responsive gameplay. The introduction of AI as a development tool to enhance the game production process is a fascinating prospect given how pivotal AI has become in diverse fields including but not limited to engineering, design, hospitality, marketing, or creative technologies. Although still in early days of adoption, the application of AI in game production spans from creating content, aiding in design and coding, planning, testing, analysing behaviour and even marketing. While the broad use of AI in games highlights the versatility of AI in addressing the creative and technical challenges of game production, it presents challenges such as ensuring ethical use of AI, and protecting data privacy and intellectual property,

Topics of interest include but they are not limited to:

• The integration of generative AI in game production pipelines.
• AI as a game design assistant.
• AI as an art apprentice.
• AI and the SDLC of games.
• AI and game marketing and player acquisition.
• Emotion AI-Affective computing and games.
• Ethics and implications of the use of AI in game development/production.

We welcome contributions on explorations for the use of AI as a tool in any stage of game production. Some examples could be:

• Case studies on development and/or integration of an AI tool into specific areas of game production.
• Technical studies that focus on production and/or integration guidelines for specialised AI tools.
• Training and/or fine-tuning strategies for language models.
• Analysis or position papers discussing aspects of intellectual property concerning game development know-how, data privacy of companies, and implications of integrating AI into game production process.

This session includes a brief presentation by an invited speaker followed by a paper session to present the accepted manuscripts.

A special session of ICONIP 2024, to be held in Auckland, New Zealand 2-6 December, 2024.

Important Links

Main conference site: https://iconip2024.org/

Important Dates

Paper Submission Deadline: 7 June 2024

Notification of Acceptance: 26 July 2024

Camera Ready Submission: 30 August 2024

Registration Deadline: 30 August 2024

Conference Dates: 2-6 December 2024

Organisers

Samah Hassan Abd El Maksoud, Media Design School 

Asli Tece Bayrak, Media Design School 

Call for Papers: Special Session on AI in Environmental, Conservation and Geospatial Applications, ICONIP 2024

AI in Environmental, Conservation and Geospatial Applications

Artificial intelligence (AI) offers promising solutions to critical environmental challenges, including climate change modelling, energy efficiency improvement, landscape erosion prediction, invasive species management, and endangered species conservation. In this context, computer vision techniques, particularly Convolutional Neural Networks (CNNs), play a pivotal role. These deep learning models enable us to extract meaningful information from geospatial data, satellite imagery, and environmental sensor networks. Geospatial data, often integrated with computer vision, provides insights for informed decision-making.

This special session is intended to attract papers dealing with the intersection between artificial intelligence and environmental issues.

Topics of interest include, but are not limited to:

• Methods in the modelling of climate change and its effects
• Predictive modelling of climate change impacts
• Analyzing satellite imagery, LiDAR data, and other remote sensing sources
• Habitat modeling and ecological niche analysis.
• AI-driven species identification and tracking.
• Conservation planning using machine learning algorithms
• AI-driven approaches for biodiversity assessment
• Remote sensing and geospatial analytics for environmental preservation
• Precision farming techniques in crop yield prediction
• Soil health assessment through AI techniques
• Water resource management using machine learning
• Geospatial data fusion for disaster management
• Land cover classification, environmental monitoring

A special session of ICONIP 2024, to be held in Auckland, New Zealand 2-6 December, 2024.

Important Links

Main conference site: https://iconip2024.org/

Important Dates

Paper Submission Deadline: 7 June 2024

Notification of Acceptance: 26 July 2024

Camera Ready Submission: 30 August 2024

Registration Deadline: 30 August 2024

Conference Dates: 2-6 December 2024

Organisers

Akbar Ghobakhlou, AUT University

Jacqui Whalley, AUT University

Mike Watts Media Design School

Asli Tece Bayrak, Media Design School

Call for Papers: Special Session on AI Education, ICONIP 2024

AI Education

There has been an explosion in the applications of Artificial Intelligence (AI). While Large Language Models such as ChatGPT have garnered much of the attention, other AI technologies have also found wide application, such as the predictive keyboards on mobile devices, and facial recognition systems in supermarkets. Some technology venture capitalists have reported that 80% of the funding pitches they receive involve AI. Many business owners believe that AI is going to put them out of business, unless they adapt to the technology. Others are desperately searching for ways to get onto the AI bandwagon. This surge in interest in AI has led to a worldwide shortage of AI engineers. Furthermore, the inappropriate application of AI, whether through the use of biased data or unethical applications, has also led to social and economic fallout. 

The increased public awareness of AI technologies has also led to a proliferation of media commentary, of varying degrees of competence, and governmental regulation. Some students have taken to using AI tools to assist in their assignments, while others have changed their career pathways due to a perception that AI is going to destroy their future job prospects.

There is, therefore, a need for education about AI. This need spans nearly all levels of education, from primary school through to postgraduates. At primary and secondary level so that people enter the working world with the basic knowledge of AI and how it affects their lives. At tertiary undergraduate and postgraduate level so that we have a steady supply of engineers and developers who can utilise AI in an appropriate and ethical manner.

This all raises a fundamental question: How is this education being done?

This special session is intended to attract papers dealing with all aspects of AI education. Topics of interest include, but are not limited to:

• Incorporating AI into teaching curricula at all levels of education
• The design and implementation of AI-specialist teaching curricula
• Technologies used to teach AI
• Teaching the ethics of AI
• Policy making around AI education
• The teaching of specialist topics within AI
• Work-integrated learning and project-based teaching in AI

A special session of ICONIP 2024, to be held in Auckland, New Zealand 2-6 December, 2024.

Important Dates

Paper Submission Deadline: 7 June 2024

Notification of Acceptance: 26 July 2024

Camera Ready Submission: 30 August 2024

Registration Deadline: 30 August 2024

Conference Dates: 2-6 December 2024

Important Links

Main conference site: https://iconip2024.org/

Organisers

Mike Watts is a Senior Lecturer in Artificial Intelligence, and Programme Coordinator of the Bachelor of Information Technology at Media Design School, Auckland, New Zealand. He was previously a research fellow in the School of Earth and Environmental Sciences at the University of Adelaide, Australia. Before that, he was a post-doctoral fellow in the School of Biological Sciences at the University of Sydney and at the National Centre for Advanced Bio-Protection Technologies at Lincoln University, New Zealand. Mike completed his PhD in artificial intelligence at the University of Otago, New Zealand, in 2004 and has published more than 80 peer-reviewed publications in the field of AI and ecological modeling.

Akbar Ghobakhlou is Data Science and Machine Learning lecturer within the School of Engineering, Computer & Mathematical Sciences at Auckland University of Technology. His research centres on practical uses of intelligent technologies like monitoring, visualization, and predictive models. His interests cover data mining, machine learning, image processing, smart sensors in precision agriculture, and environmental monitoring. Akbar is an active member of the IEEE community, specifically within the Instrumentation and Measurement Society (IMS). He organised and chaired the annual IMS two-day workshop in 2023. Akbar completed his PhD in artificial intelligence at the University of Otago, New Zealand has numerous peer-reviewed publications in the field of AI and IoT applications.

Ranpreet Kaur is a Lecturer in the Department of Bachelor of Software Engineering and Artificial Intelligence at Media Design School. She was previously a research and teaching assistant in the School of Engineering, Computational, and Mathematical Sciences at Auckland University of Technology. She has 15 years of academic career primarily focused on teaching and research. She has completed her PhD in Computer Science and Artificial Intelligence from Auckland University of Technology. She has published more than 20 high-quality research papers such as into Q1 and Q2 journals, international conferences, book chapters, and symposiums. She has been currently involved in various research projects. 

Conference submission deadline: ICONIP 2017

The deadline for submitting papers to the International Conference on Neural Information Processing (ICONIP) 2017 is June 15, 2017. This conference will be held in Guangzhou, China, November 14-18, 2017.