Toward Trustworthy AI Deployment: Bridging Regulatory Compliance and Technological Innovation

About the project

Objective
This project aims to align the legal requirements for emerging digital technologies, such as AI systems, with the development of such technologies. The regulatory demands for responsible AI, such as the need for transparency, protecting privacy and taking into account fundamental rights, are mandated by the recently enacted AI Act. This project will identify and address the challenges associated with transposing the legal demands of the AI Act into technical specifications in order that the developed technology is ethical and also legally compliant from the outset. 

This industrial postdoc project is a collaborative initiative between KTH, Stockholm University, and industry partner Scania. By integrating legal and technical expertise, it will contribute to Scania’s broader efforts within AI regulatory compliance and support the implementation of responsible AI practices across its internal initiatives.

Background
The ICT sector has an environmental footprint. The future development of this footprint is debated, and it Artificial intelligence (AI) has many positive uses but the  widespread adoption of this technology has also raised some concerns over the risks associated with its usage, such as biased decision-making, a lack of privacy preservation, environmental concerns and the diminishing of fundamental rights in general.  

The European Union AI Act entered into force on the 1st of August 2024 and is the first comprehensive legal framework regulating AI systems. Its primary objective is to promote trustworthy AI systems, thereby  ensuring that AI technologies are safe, transparent and aligned with EU values, while also fostering innovation. 

This project will focus primarily on AI governance with the objective of promoting responsible AI as mandated by the AI Act. It will focus on how legal demands for transparency, trustworthiness, privacy, technical robustness, and avoidance of unfair bias should be interpreted for incorporation into corporate processes so as to proactively promote legal compliance. Part of this task will involve the identification and implementation of additional soft law elements, for example, harmonized standards developed by EU standardization bodies as well as guidelines produced by various EU institutions.

Partner Postdoc
Anna De Carvalho Guimarães

Main supervisor
Tobias Oechtering, KTH

Co-supervisor(s)
Stanley Greenstein, Stockholm University
Rami Mochaourab, Scania

Project period

01/01/2025 – 31/12/2026

Type of call

Partner Postdoc

Societal context

Digitalized Industry

Research themes

Cooperate

Partner

KTH

Scania

Stockholm University

Project status

Ongoing

Contacts