Fair AI Data is a pioneering spin-off from Linköping University, supported by Vinnova and LEAD. We combine research in AI ethics with practical tools to improve the quality and fairness of synthetic data.
The research by our co-founders was included in IVA's 100 list 2024.
Saghi Hajisharif
PhD Visual Machine Learning, CTO and co-founder. Saghi brings years of machine learning skills to the research our tools build upon, to make sure the fairness metrics and debiasing algorithms are working for your data.
saghi.hajisharif@fairaidata.com
Some of Saghi's research:
Saghi Hajisharif - Linköping University (liu.se)
Ericka Johnson
Professor Gender and Society, CSO and co-founder. Ericka brings theoretical and social science research on data in the world to address the intersectional aspects of synthetic data.
Some of Ericka's research:
Ericka Johnson - Linköping University (liu.se)
Helene Ström
CEO and co-founder. We know that you are making synthetic data to give you a commercial advantage. Helene brings to our work a background in business which customizes our tools to make research relevant.
We combine deep expertise in business, technology, and the social sciences. Our interdisciplinary team is committed to helping you navigate the complexities of synthetic data so it aligns with your organization’s needs—while remaining unbiased and transparent.
We know the tech—but more importantly, we understand the real-world power dynamics that create bias. Unfair data isn’t just a technical issue; it’s social, organizational, and systemic. That’s why we take a holistic approach to fairness.
Whether you’re a startup, a multinational, or a public institution, we work with you to ensure that your synthetic data reflects real-world diversity and serves your goals ethically and effectively.
© Fair AI Data
