Jie Liang combines a background in applied anthropology, AI ethics, and social science research to advance the development of fair and inclusive AI systems. With experience leading EU-funded projects like FINDHR, focused on addressing algorithmic hiring bias, and entrepreneurial and open-source work on dataset diversity and ethical design, she bridges technical innovation with human-centered values. Specializing in community-centered research methodologies, Jie helps organizations transform complex societal challenges into actionable strategies for building responsible AI solutions.
Dusan has extensive experience working with clients in industry, academia, and the public sector as an advisor in data protection matters and AI governance. He has extensive experience in navigating legal and ethics compliance in various R&D projects funded by the EC under the Horizon programs. His expertise includes conducting numerous ethics assessments on project proposals, particularly those involving AI development.
Lukas is researcher and AI Engineer with experience in computer vision, natural language processing, and reinforcement learning. He holds a M.Sc. from Technical University Dresden, and has over 6 years of professional experience designing and implementing AI and data intensive applications in e-commerce, healthcare and education. He published research on AI governance, incorporating legal, psychological- and technical -perspectives. Combining technical and governance expertise, he is convinced that AI legislation can be implemented in a lean way, improving both product and user-safety.
Valentin is a software engineer and consultant with more than a decade of startup experience. He's currently focusing on the ethical and inclusive uses of AI in commercial settings.
Mpho is an experienced Data Scientist and Data Engineer. They are passionate about creating well balanced datasets and their background in sociology and psychology informs their technical work. They have conceptualised and implemented hate speech detection models for research purposes.
Our commitment to inclusivity, transparency, and accountability drives us to co-create AI systems that benefit your company and all of society.
