Dr Michel Loi, AI ETHICS EXPERT BUSINESS CONSULTANT RESEARCH LEADER Logo

MICHELE LOI

AI ETHICS EXPERT, BUSINESS CONSULTANT AND RESEARCH LEADER

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.

Dr Michele Loi - AI expert, business consultant and research leader
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MICHELE LOI

AI ETHICS EXPERT, BUSINESS CONSULTANT AND RESEARCH LEADER

Dr Michele Loi - AI expert, business consultant and research leader

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.

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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.