~~A distinguished technology ethics expert combining rigorous academic research with practical policy impact in AI governance and digital rights.~~ I wrote this when I thought using LLMs to condense my CV made sense… So, let’s start again, and try to make this in a way that doesn’t bore myself.
I want to help organizations see what they are actually not prepared for: the collapse of costly signals and trust mechanisms.
Passionate about: machines that can produce reasons. And how that will change everything. Not the Superintelligence story, but the Trust and Transparency story.
The longer story: I spent 10 years in academia publishing about trust, transparency and bias in AI, as a philosopher within (and later, leading his own) interdisciplinary teams. https://philpeople.org/profiles/michele-loi
Then ChatGPT made me stop and rethink everything. Here’s what I now think is important:
1) Organizations will create new discrimination trying to filter out AI slop
2) Institutions need to redesign how they verify/trust work in an AI world
3) Individuals need new ways to maintain credibility when everyone can generate expert-sounding output.
Let’s talk about what that means for your organization.
Business astute and accomplished professional with extensive experience in high-profile data ethics projects, providing evidence to companies and public institutions, and publishing books, articles and chapters on AI fairness, transparency, trust, data protection, privacy, and cybersecurity.
Proven expertise in stakeholder (including regulator) engagement while consulting on issues of AI, data protection and privacy practices, policies, and standards. Track record of serving as Analyst, Researcher, and Manager at the Digital Society Initiative of the University of Zurich. Instrumental in increasing performance of cross- functional teams by training and mentoring with subject matter expertise.
Demonstrated success in building and maintaining firm relationships with key stakeholders to attain shared vision and goals.
This professional webpage has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 898322.
