>>what we do
The Visible Machines Center will function as an open platform where professionals, scientists, academics, and artists can participate and engage. To achieve our goals, we operate as follows:
Community Building: We create a space for dialogue and exchange of ideas, where knowledge and experience about AI sociotechnical systems can be shared.
Science Communication: Through diverse activities such as articles and opinion pieces, seminars, workshops, audiovisual material (videos, podcasts), events, and more.
Research and Knowledge Production: Sociological studies and technological research, including the collection and publication of data and bibliographic resources, policy reports, scientific publications and analysis of machine learning models, e.g. interpretability, trustworthiness, robustness, biases, privacy violations, or copyright infringement.
Knowledge Sharing and Tool Development: Creating and sharing tools in the center’s areas of interest in collaboration with other organizations, e.g., AI auditing.
Policy Recommendations: Proposing strategies and policy measures based on analyses of the social impacts and benefits of AI in the center’s focus areas in Greece.
topics of Interest
Transparency & Accountability, Biases: Interpretability, biases & fairness (in data and algorithms), AI auditing (regulatory compliance, model adaptation/editing). Read our position here.
Work & Automation: Digital labor, work intensification, automation.
Rights: Privacy and surveillance, copyright, discrimination and unfair decisions.
Legislation & Regulation: Analysis, monitoring and contribution to the public discourse on laws and regulatory frameworks (e.g., EU AI Act), codes of ethics/conduct and technical standards.
Environment & Sustainability: Energy, data centers and resources.
Health & Medicine / Biomedicine: AI for supporting medical decisions, diagnosis, prognosis and treatment; patient data protection and ethical issues.
Education: Digital platforms, intelligent educational systems, AI literacy seminars/workshops.
Culture, Arts & Creativity: Copyrights, originality, aesthetics.
Research & Science: New forms of academic/scientific research, work, writing, editing and peer review.
Journalism & Media: Misinformation, AI in social media, AI for investigative/data journalism.
State, Governance & Public Administration: AI in the public sector (e.g., social services, taxation, personnel evaluation), transparency, accountability, citizens’ rights to explanation and appeal, administrative discretion, human oversight. Read our position here.
Public Image & Ideology: Terminology, depictions, AI myths vs. reality, public perceptions, existential and long-termist ideologies related to AI development and safety.
History of AI: Evolution of AI technologies and systems, relation to previous industrial and technological revolutions.
Philosophy & Ethics of AI: Ethical theories and principles in AI use, social, political and existential implications.