AI Futures Lab

Rights & Justice

AI is increasingly widespread, but poses a challenge for designers: it is complex, entangled, plural and indeterminate, and it changes over time. Harms that can result from poorly designed AI systems are both subtle and large scale, and socio-legal contexts evolve in response to the actions of computational systems. New understandings of rights and justice and flexible responses to a changing world are needed, which at the same time support human agency, human rights, wellbeing and justice.

The AI Futures Lab will address the current knowledge gap by combining Industrial Design Engineering (IDE) post-industrial design research and methodologies. These will be applied to machine ethnography, to experiential AI and to in-the-wild AI prototyping using Technology, Policy and Management (TPM) methodologies of comprehensive engineering and design for values. We will explore configurations of people and AI around rights and justice, aiming to expand both scientific knowledge and public understanding of AI capabilities. The empirical research focus of our lab extends from remote work to robotics and security. Our goal is a tangible and vibrant set of prototypes, experiences and theories that map out ways in which design can be engaged to deploy AI and machine learning in support of rights and justice. By prototyping new relationships ‘WITH AI’ that are respectful of agency, rights, and justice, we will open up spaces for new developments ‘IN AI’.

The AI Futures Lab is part of the TU Delft AI Labs programme.

Projects

Publications

The Team

Directors

Dave Murray-Rust

Faculty of IDE
Lab director

Ben Wagner

Faculty of TPM
Lab director

PhD's

Floris van Krimpen

PhD candidate

Aarón Moreno Inglés

PhD candidate

Mahan Mehrvarz

PhD Candidate

Marie-Therese Sekwenz

PhD candidate

Sofie-Amalie Torp Dideriksen

PhD candidate

Jorge Constantino Torres

PhD candidate

Susannah Montgomery

PhD candidate (visiting)

Postdocs

Janneke Schokkenbroek

Postdoc

Andy Sanchez

Postdoc

Associated faculty

Ibo van de Poel

Associated faculty

Hans de Bruijn

Associated faculty

Education

Courses

Master projects

Ongoing

Intelligent sound models, Dave Murray-Rust, Tim Deltrap (2022/2023)
Relating to plant based robots, Dave Murray-Rust, Cin Yie Chang
Transparency in AI, Dave Murray-Rust, Dilara Bora
Corporate use of LLMs, Dave Murray-Rust, ZhuoTing Wang
AI for Community Climate Adaptation, Dave Murray-Rust, Timon Adriaanssen

Finished

Designing for explantion-driven trust in chatbots, C. Schneegass, Zhengquan Zhang (2022/2023)
Design HAI Interactions, Dave Murray-Rust, Jiayi Zhou (2022/2023)
Designing Robot Personalities, Dave Murray-Rust, Akmal Ahmed (2022/2023)
Remote collaboration with cognitive robots, Dave Murray-Rust, Lilly Filthaut (2022/2023)
Designing relational interactions with power grids, Dave Murray-Rust, Vicky Toellner (2022/2023)
Intelligent Timbre Space Interactions, Dave Murray-Rust, Diana Vardanyan (2022/2023)
Adapting care robot Tessa for early-stage dementia with implementation through general practitioners, Dave Murray-Rust, Rosa Elering (2021/2022)
Enabling Human-In-The-Loop Interpretability Methods of Machine Learning Models, Dave Murray-Rust, Wei Zeng (2021/2022)
Ethics, Gender, and Agents, Dave Murray-Rust, Ji-Youn Jung (2021/2022)
Designing for transparent intentions in AI powered energy systems, Elisa Giaccardi, Menu Sara Mathai Reji (2020/2021)