There are endless guidelines, principles and directions for how to produce more ethical, inclusive, fair, robust, trustworthy, sustainable, secure or privacy-enhanced AI. We cut through the noise and know what’s fluff and what’s manageable and compliant. We rely on tried and tested approaches to AI auditing and ethical product development, and are not easily distracted by the newest trend in AI assessments

Our Team

A woman with glasses standing outdoors next to a concrete wall, wearing a blazer and a necklace.

Tess Skadegård Thorsen, PhD, Co-Founder

Award winning researcher and reluctant tech ethicist with a low tolerance for shitty AI.

Tess (she/her) is a reluctant AI ethicist and unlikely technologist. She is wired to critique and find risk. A diplomatic leader, Tess doesn’t compromise on truth or justice. Perhaps that is why her advice is sought out as an international consultant for companies and organizations, and as a board member for multiple organizations, including the Danish Pioneer Centre for AI. A former award-winning researcher (with a PhD in Politics & Society focused on representation), Tess regularly lectures and speaks across the globe for some of the Worlds most renowned universities and biggest companies. She was headhunted to run the first-of-its-kind Product Ethics Team at Comcast NBCUniversal in 2022. As a director at a Fortune 50 Tech and Media Conglomerate (at 32), Tess worked with a wide range of people on an array of questions – from product development, policy, legal, to investments, innovation, and incubation. She also attended the NYU Institute for Public Interest Technology to sharpen her coding skills – enabling her to work with the most advanced ML and algorithmic teams.

Regardless of what you are developing or where you are in your AI journey, Tess always knows the right questions to ask to uncover risks, inequities, and imbalance. Whether encountering a team of highly technical developers or a suite of top-level executives, Tess knows how and what to probe to rethink processes and make more robust and critical decisions (and products) along the way. She has the business-acumen to identify potentials and risks and the technical insight required to troubleshoot with even the most advanced teams.

As former VP of research at Comcast (Tess’ former boss), Patrick Cook explains “She is very generous in sharing her knowledge, never talks down, and always approaches collaborations with colleagues with a view to educate and, above all, inspire.”

Black and white portrait of a smiling young man with short dark hair, wearing a dark shirt, against a plain background.

Vedran Sekara, PhD, Co-Founder

The least professory AI-auditing professor you’ve ever met.

Vedran (he/him). A physicist with a PhD in Applied Mathematics, focused on computer science, Vedran did Machine Learning and Algorithms before it was hot and ran studies with some of the biggest human datasets science had seen. Vedran has had stints in both the public sector (leading machine learning research at UNICEF Innovation and advising the UNICEF Innovation Venture Fund) and the private sector (building machine learning pipelines at SONY Mobile). Today he splits his time as Associate Professor at the IT University when he isn’t crunching algorithms for Gaard & Sekara. He is an expert on social behavior and algorithmic robustness and his research has been covered in The Ecomomist, Forbes, Scientific American and Die Zeit, and been featured on the cover of Proceedings of the Natural Academy of Sciences.

Vedran can solve most problems you throw his way. He says he is a lazy thinker, and that’s what makes him think up fast and smart solutions that require less work (and less computing) – but to those who work with him he is always hailed as tireless and above all stubborn. He will not let a puzzle go unsolved: whether you are looking to challenge an ongoing issue through analytics of complex datasets or you want to ensure the robustness of an algorithm.

Vedran is impatient with problems, but exceptionally pedagogical with people. He loves partnering with a diverse team, drawing on everyone’s expertise. He has upskilled and collaborated with folks ranging from: MIT professors, branding teams, Google Brain scientists, government officials, to humanitarian aid workers and lawyers. He is measured and listens before making any calls, but as his colleagues from UNICEF always said: he will let you know when something is shit. His bullshit detector is unmatched. He even teaches a lecture on detecting bullshit.

Jasmin Dayeh, PhD, Associate Consultant

A Big Four auditor with a PhD in Accounting & AI and a drive toward fairer tech.

Jasmin (she/her) is an accountant and  AI auditor specialized in auditing AI and in AI-driven tools for audits and accounting.  With a passion for regulation, governance, and ensuring that technology serves people, Jasmin assesses risk, navigates complex regulatory environments, and brings structure to ambiguity, combining analytical rigor with a pragmatic business mindset.

She is a senior finance, audit, and governance professional with extensive experience in CFO advisory services, external audit, AI governance, and digital transformation. Her PhD, from Copenhagen Business School, focused on Audit and Artificial Intelligence. Jasmin has worked across Big Four accounting firms, consulting, and academia, advising both multinational and publicly listed organizations.

Her experience spans complex audit and transformation projects across the pharmaceutical, utilities, aviation, technology, and financial services sectors. By combining academic depth with practical business experience, Jasmin helps organizations navigate the intersection of finance, technology, governance, and responsible AI.

Piotr Sapiezynski, PhD, Associate Consultant

The AI Auditing expert who can unpack any black-box system

Piotr (he/him), a computer scientist with over 15 years of experience in finding holes in algorithmic products. His adversarial investigations—both as an academic, and as an expert for hire—have brought about real-world accountability, including settlements with tech giants over privacy violations and discrimination, legislative changes, and product redesigns. He always chases a simpler way to explain arcane techniques while teaching algorithm audits at college courses, as well as workshops for journalists, activists, computer scientists, and lawyers.

Piotr has an intuitive sensibility towards balance and justice, taking his analyses beyond where you could go if you just followed by-the-book, step-by-step auditing measures. He is the guy you call when you have a suspicion but you don’t have all the pieces of the puzzle to test, troubleshoot or audit using traditional methods and measures. A creative thinker, Piotr will design new testing solutions and analysis-methods that can uncover the risks most would have overlooked.

To be announced soon…

Safety, security, and AI threat modeling expert …

More to come soon…