Here you can find more information about our projects.
Current projects
forward-looking ai governance (Flaig)
Artificial Intelligence (AI) is increasingly used in various decision-making processes in sectors such as healthcare, traffic, and finance. The rapid development of Generative AI has further expanded AI’s application areas to idea generation and content creation. At the same time, the rapid development and global proliferation of AI have raised concerns about its systemic risks, including algorithmic biases, discrimination, and safety. Reflecting the importance of addressing these risks, proposals for AI ethical principles and guidelines have been put forward by, for example, the EU, OECD, as well as companies and public sector organizations.
While there is a general consensus that AI systems in organizations should operate in alignment with human and societal values (Dignum, 2020; Fjeld et al., 2020; High-Level Expert Group on Artificial Intelligence, 2019), guidelines and ethical principles remain abstract and fail to translate into concrete governance practices within organizations that deploy AI systems.
This creates a strong need for actionable AI governance frameworks and tools to help organizations ensure they use AI in a socially responsible manner. The introduction of AI-specific regulations further amplifies the need for organizations to build AI governance capabilities.
Against this backdrop, the Forward-Looking AI Governance (FLAIG) project explores AI governance with a specific focus on generative AI and governance needs of the banking and insurance sectors. The project creates new knowledge of the governance of generative AI and research-based tools and frameworks to support organizations in building their AI governance capabilities.
PROJECT DURATION:
2024 - 2026
Funding body:
Business finrland co-research funding
partners:
aalto university, tietoevry, op, op financial group and veritas life insurance
Principal investigator:
prof. Matti mäntymäki
human-centric digital twin approaches to trustworthy ai and robotics for improved working conditions (ai4work)
AI4Work develops innovative methods for dynamic work-sharing between humans and AI/robots in organizational settings. With a consortium of 18 partners coordinated by ATB Bremen, the project introduces Sliding Work Sharing (SWS), where task allocation adapts based on context, AI confidence levels, and human interactions. Through a comprehensive framework including digital twins and software tools, AI4Work addresses the challenge of creating trustworthy and effective human-AI collaboration. The project validates these solutions across six sectors (logistics, manufacturing, construction, healthcare, education, and agriculture), aiming to improve workplace efficiency while reducing employee stress.
PROJECT DURATION:
2024 - 2026
Funding body:
horizon europe
Principal investigator:
prof. Matti mäntymäki
Responsible ai through governance (raitgo)
The RAITGO project creates new, forward-looking knowledge on the governance of generative AI as a socio-technical system comprising IT artifacts, human practices, and data as a part of organizations’ overall governance system. The project explores the key ethical issues for generative AI and how to address these issues through AI governance. In addition, the project explores how generative AI influences organizational AI governance structures, practices, and processes.
PROJECT DURATION:
2024 - 2026
Funding body:
Dr.h.c. marcus wallenberg's foundation for research in business administration
Principal investigator:
prof. Matti mäntymäki
AI governance for resilience (AIG4R)
The AI4R project builds forward-looking knowledge on the resilience of generative AI as a socio-technical system that consists of IT artifacts, human practices, and data as a part of an organization’s overall governance system. The project will address the paradoxical challenge of ensuring both transparency and safety of generative AI systems through AI governance. As a result, the project explores the key resilience issues and challenges for generative AI and AI governance as a means to address these issues and challenges.
PROJECT DURATION:
2024 - 2025
Funding body:
Liedon säästöpankki foundation
Principal investigator:
prof. Matti mäntymäki
Past projects
Artificial intelligence
governance and auditing (AIGA)
Algorithm-based and algorithm-assisted decision-making are becoming increasingly pervasive across different industry sectors but also in public and governmental services.
The widespread use, and particularly incidents of misuse, of algorithms has created increasing public awareness of the risks and challenges related to algorithmic decision-making.
Click here to read more or visit AIGA’s project website.
PROJECT DURATION:
2020 - 2022
Funding body:
Business Finland
Principal investigator:
prof. Matti mäntymäki
VIRPA D
Our activities within the Business Finland funded VIRPA D project focus on helping the corporate partners in their effort to develop data– and Internet of Things driven business models and business ecosystems for the real estate and facilities sector.
Within the project we have examined end users’ value perceptions in a business campus context and their views on using sensors to collect data from the property users.
Click here to read more.
PROJECT DURATION:
2018 - 2019
Funding body:
Business Finland
Principal investigator:
prof. Matti mäntymäki
DIGITAL ENGAGEMENT:
UNCOVERING THE CUSTOMER VALUE OF SOCIAL MEDIA
The purpose of Digital Engagement project was to examine and better understand the values that drive people’s engagement in social media platforms and the values the result from people’s activities in these platforms.
The studies conducted within the project focused on user behavior in digital media, freemium consumer behavior and business model.
Click here to read more.