Visit our website : https://humane-ai.nl/
Twitter: @HumaneAI2
The Research Priority Area Human(e) AI at the University of Amsterdam
synthesises ongoing work and stimulates new research at the UvA on the
societal consequences of the rapid development of artificial
intelligence (AI) and automated decision-making (ADM) in a wide variety
of societal areas. These include news aggregation, cultural heritage,
surveillance, and automated justice and cover fundamental research
questions in history, sociology, law, ethics, communication, economics,
medicine and psychology.
The goal of the RPA is to enable Humane AI: AI and digital technologies
contributing to new forms of knowledge production, understanding new
forms of agency and intersubjectivity, enhancing cultural and
socio-economic equality, improving fairness and respect for fundamental
rights in decision-making both in the public and commercial sector, and
realizing opportunities for digital citizenship.
To realize these aims, the RPA envisions a set of ambitious and
innovative activities along three main pillars:
1. The initiative will function as a hub for scientific knowledge
production and discussion within the University of Amsterdam and beyond.
An important objective is to foster bottom-up collaboration across
disciplines, and between computer science, law, economics, medical
science, social science and the humanities.
2. The RPA will develop innovative research on the automation of core
societal processes, analyzing the consequences for individuals, culture
and society in interdisciplinary research projects supported by seed
funding. The RPA will demonstrate the advantage of adopting an
interdisciplinary approach, connecting researchers within UvA and
contributing to both, broader societal and normative research questions,
as well as questions on the application level that emerge. This
research will initially center around three thematic foci.
3. The RPA will closely cooperate and share knowledge with societal
actors and policymakers, initiating public debate about the societal
implications of AI, and develop collaborations with commercial AI
partners – building on already established contacts via, among others,
the Innovation Center for AI (ICAI) – as a way to not only generate new
scientific advances, but to contribute to a digital society.