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IJCAI-AIofAI 2022 : 2nd Workshop on Adverse Impacts and Collateral Effects of AI Technologies


When Jul 23, 2022 - Jul 25, 2022
Where Vienna, Austria
Submission Deadline May 20, 2022
Notification Due Jun 3, 2022
Categories    artificial intelligence   privacy   trust   machine learning

Call For Papers

In conjunction with the 31st International Conference on Artificial Intelligence (IJCAI-2022)

The role of Artificial Intelligence (AI) in people’s everyday life has grown exponentially over the last decade. Currently, individuals rely heavily on intelligent software applications across different domains including healthcare, logistics, defence, and governance. Particularly, AI systems facilitate decision-making processes across these domains through the automatic analysis and classification of large data sets and the subsequent identification of relevant patterns. To a large extent, such an approach has contributed to the sustainable development of modern societies and remains a powerful instrument for social and economic growth. However, recent events related to the massive spread of misinformation and deepfakes, along with large privacy and security breaches, have raised concerns among AI practitioners and researchers about the negative and detrimental impacts of these technologies. Hence, there is an urgent call for guidelines, methods, and techniques to assess and mitigate the potentially adverse impacts and side effects of AI applications.

This workshop explores how and up to which extent AI technologies can serve deceptive and malicious purposes either intentionally or not. Furthermore, it seeks to elaborate on countermeasures and mitigation actions to prevent potential negative effects and collateral damages of AI systems. For this, we invite AI researchers and practitioners across different disciplines and knowledge backgrounds to submit contributions dealing with the following (or related) topics:

Hazardous AI applications:
- Deepfakes.
- Fake news and misinformation.
- Online deception.
- Malicious personalization.
- Social engineering.

Adverse impacts of AI:
- Privacy and security breaches.
- Backfire effects.
- Guidelines and mitigation actions.
- Ethical conflicts and challenges.
- Risk assessment methods.

Responsible AI:
- Case studies.
- Best practices for trustworthy AI.


- AI in the COVID-19 era: Since its outbreak in 2020, the COVID-19 pandemic has plunged the world into a state of crisis. Far from over, the last two years have been characterized by a tsunami of misinformation, as well as the hasty deployment of inexact and biased AI models to detect COVID-19 and manage the pandemic, fostering mistrust in research and scientific evidence. AIofAI welcomes submissions elaborating on the detrimental impact of AI applications during the COVID-19 pandemic.

- AI Regulations: The new regulatory framework for AI systems drafted by the European Commission seeks for instance to promote profound changes in the way such systems are developed and deployed. Still, many challenges are upfront particularly when it comes to the identification and assessment of risks potentially linked to AI solutions. We encourage the submission of papers elaborating on regulations, guidelines, methods and tools for assessing the risks of AI systems and their possible adverse impact on both individuals and societies at large.


We welcome submissions spanning the full range of theoretical and applied work including user research, methods, datasets, tools, simulations, demos, and practical evaluations. Submissions should be 10-15 pages for full technical papers and 5-9 pages for position papers or demos including references. Papers should be formatted according to the CEUR-WS instructions. Templates (Word and Latex) and can be found here

Submissions will be peer-reviewed by 3-4 members of the program committee in a single-blind process. Proceedings shall be submitted to for online publication (tentative).

Submission Deadline: May 20, 2022 (AoE) - EXTENDED!!

Notification: June 3, 2022

Submission Link:

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