I am a Philosopher a Researcher an Ethicist an Advisor a Speaker
I am passionate about bringing analytic philosophical insight to ethical challenges in technology, culture, and society.
Biography
I’m a Assistant Research Professor (Junior Research Group Leader) in the Ethics of AI and ML at the Ludwig Maximilians University of Munich (LMU) and the Munich Center for Machine Learning (MCML). My research focuses on the ethics of AI and technology, foundational issues in normative ethics, and organizational and business ethics.
Currently, I am completing a book on the ethics of interpersonal relationships and partiality. A unifying theme across my research is to apply the resources from philosophy and ethics to issues in practice.
I am an Associate Research Fellow at the Oxford Uehiro Institute for Practical Ethics at the University of Oxford and a member of the Zentrum für Ethik und Philosophie in der Praxis (ZEPP) at LMU. Previously, I was a Visiting Researcher at Google’s Responsible Innovation and AI Ethics team and held a Visiting Position at the University of Hamburg. I was educated at the London School of Economics and Political Science (BSc) and at Lady Margaret Hall and St. Anne’s College at the University of Oxford (B.Phil and D.Phil).
My work has been featured in national and international media, including, the ZDF heute journal, CBS News, Business Insider, the AI Insider, and the Rheinische Post, among others. I have also advised the European Commission as an independent expert on AI ethics and responsible AI governance.
About me
Ethics Advisory
I provide strategic consulting and assurance on organizational ethics, including AI ethics and digital ethics, corporate social and digital responsibility (CSR & CDR), and ethics and compliance.
My approach unlocks the value of ethical capabilities of organizations. It increases growth and profits; attracts, retains, and motivates employees, and achieves social impact. I have deep expertise in the whole suite of organizational ethics capabilities.
My clients range from Fortune 500 and DAX30 companies over SMEs to start-ups and public institutions across various sectors (finance, technology, public relations and marketing, education and edtech, pharmaceutical, law, non-profit).
AI Assurance Audits for Regulatory Compliance
AI regulation worldwide will require assurance that the risks of algorithmic systems are managed. Here we present the first assurance audit methodology that has been trialled in practice for NYC AI Bias Law (LL144).
New published article in AI & Ethics:
A new method for bottom-up responsible innovation
Based on our practitioner work at Google, we detail a Moral Imagination methodology to facilitate ethical awareness, ethical deliberation and decision-making, and commitment in the day-to-day of technologist teams.
Why does Digital Ethics matter?