Programs




Providing customised services using users’ biometric data (including emotions, experiences, memories, and attitudes), security and privacy issues involved in the BCIs need more attention. Moreover, reviewing the possible privacy and security threats involved in BCIs with possible security measures to mitigate the privacy threats, and therefore focusing on developing security mechanisms to protect and secure the BCI can open many opportunities in research in BCI security and privacy concepts. Therefore, we have planned to set up a panel for more discussion regarding the mentioned issues.


  • Does using BCI threaten user privacy in the fields in which BCI is involved, such as education, games and entertainment, marketing, and healthcare (prevention, detection, diagnosis, rehabilitation restoration), and brain-biometric?
  • What are the capable defense techniques against BCI’s vulnerabilities?
  • How to calculate cyber security risks in BCI? How about the risk management of BCI vulnerabilities? What is included in a cybersecurity risk assessment?
  • How to combine Cryptography with EEG to have secure communication?
  • Do users’ emotions, stress, and diet (stability of brain biometric), or age in a long time (permanence of Brian biometric) influence Cryptographic Key Generation Systems using EEG signals?
  • What are the “Biometric Specifications for Personal Identity Verification” standards for brain biometric?
  • What are the ethical considerations for BCI wearable technology?

Finding an answer to these questions opens many opportunities in research in BCI security and privacy concepts. Moreover, BCI security risk management requires more in-depth analysis of the security risk caused by BCI. In particular, this would be assisted by stronger estimates on the baseline likelihood of risk. Due to the vitality awareness of security involved in BCI, various prominent experts from Germany, Switzerland, Norway, Italy, and UK will discuss the BCI security and privacy issues and solution on our panel discussion on July 15-17, 2022.



This panel aims to discuss the opportunities and challenges presented by the use of artificial intelligence (AI) to provide personalised support to students with learning disabilities and Autism. The recent European Commission Erasmus+ funded projects “An AI Tool to Predict Engagement and ‘Meltdown’ Events in Students with Autism (AI-TOP)” seeks to understand how AI can be used to predict when “Rumble” moments might occur for students with Autism so that evidence-based calming interventions can be introduced in a timely fashion to decrease the frequency and intensity of the meltdown events. Another project funded under the same programme titled “Embracing diversity in Asia through the adoption of Inclusive Open Practices (DIVERSASIA)” aims to make accessible Open Education Resources and Massive Open Online Courses and their personalisation using AI that will enable better provision of open distance learning for those with disabilities. The panel comprises experts from special education, and Autism research teamed together with experts in AI. We predict a lively discussion which we intend to analyse in greater depth after the workshop and provide a blueprint for the future use of AI in special education.


Indicative panel questions:

  • Use of AI in Supporting Students with Autism: Challenges and Opportunities
  • What do you see as the ethical issues of using AI in the education of students with Autism?
  • Do you foresee any security issues?
  • How could AI be successfully used in the classroom (e.g., personalised pathway, challenging behaviour)?


Artificial intelligence (AI) has made significant improvements during the last decade. It has opened up doors of excellent opportunities leading to unprecedented discoveries in basic, applied and translational research. AI applied to brain research, in decoding the neural code to improve preventative treatment and predictive diagnostic models, has been directing the development of the next generation of effective assistive neurotechnologies. It also raises many questions and challenges related to the ethical use of these newly developed methodologies. Several initiatives and movements have been actioned to make AI more transparent through explainability and promoting open-source methodological development to address these ethical questions and challenges. Focusing on them, a panel consisting of experts from diverse disciplines, including sociology, law, computational intelligence, and neuroscience, will discuss different opportunities and challenges in developing open, explainable and ethical methodologies for brain science. The lively discussion will share cross-disciplinary information for in-depth analysis of the topic and possibly put forward an outline for possible future research actions.


Indicative panel topics:

  • Major ethical issues related to the different phases of neuroscience experiments.
  • Challenges foreseen in the openness and explainability of AI in brain research.
  • Augmentation of brain function through implantable technologies and AI.
  • Necessary actions towards ethical AI and neuroscience research.

The conference will be held in Padova, beautiful historical city located in North-eastern Italy (30 km from Venice).

Department of Biomedical Sciences - Via Marzolo, n.3 - 35131, Padova, Italy

Interdepartmental Complex A. Vallisneri - Via Ugo Bassi, 58b - 35121 Padova, Italy