Zaharah Bukhsh and Carlos Zednik appointed associates at the Eindhoven Artificial Intelligence Systems Institute (EAISI)

TU/e’s Eindhoven Artificial Intelligence Systems Institute (EAISI) has invited Zaharah Bukhsh (Information Systems) and Carlos Zednik (Philosophy & Ethics) to join the institute as associates. In their new role they are tasked with stimulating cross-disciplinary collaboration, and advising the EAISI management team and scientific board. The EAISI associates are invited from all TU/e departments and will be fostering enhanced synergy among the EAISI researchers.

Shape the landscape

Zahara Bukhsh is excited to becoming an EAISI Associate: “I am honored to have the opportunity to shape the landscape of AI research at TU/e. This role not only involves representing our department but also fostering interdisciplinary collaboration, enhancing services, and gathering feedback to better support researchers.

My research aligns seamlessly with EAISI's vision, focusing on advancing decision-support methodologies, particularly in dynamic environments. By developing deep reinforcement learning techniques, my work contributes to EAISI's ambitious projects like ‘NextGen Industry’ and ‘Health Anywhere’. Looking ahead, AI's trajectory lies in integrating seamlessly into industries while prioritizing human values. With EAISI's dedication to interdisciplinary collaboration, we're poised to accelerate this evolution, shaping a future where AI serves society harmoniously.

Significant responsability

“Becoming an EAISI associate is both an privilege and a significant responsibility”, says Carlos Zednik. “It grants the opportunity to guide the trajectory of AI research and development locally, regionally, and nationally. With EAISI representing a diverse AI community, my goal as an associate is to promote collaboration across disciplines and application areas. I aim to integrate technical and social sciences aspects to ensure responsible AI development.

I work on the  theoretical foundations of AI, particularly in explainable AI and governance. I address broader questions surrounding AI's societal impact and human-machine interaction. As AI revolutionizes fields like medicine and education, it's crucial to prioritize positive transformations while considering human and ecological well-being. Thus, EAISI researchers have a vital role in advancing AI technologies and advocating for effective governance and oversight to steer AI development in a beneficial direction.