Mona Chammas is a Canada-based legal analyst and ethics strategist writing for The Genteel, with additional affiliations at the Sorbonne and EDHEC Business School. Her work focuses on:
Notable recognitions include her Fulbright Scholarship and advisory roles with the French Space Agency and Belgian AI Ethics Committee. She maintains an active speaking schedule at international symposia on tech governance.
Mona Chammas has cultivated a unique career bridging legal expertise, corporate integrity, and ethical innovation. Her trajectory spans:
Chammas prioritizes stories examining how multinational corporations navigate conflicting international regulations. Her work with the OECD and EU AI Ethics Committee demonstrates interest in frameworks balancing innovation with accountability. Pitch case studies about companies harmonizing GDPR with Asia-Pacific data laws or implementing UN Sustainable Development Goals in supply chains.
With her WhistleBlowing Center initiatives and Sorbonne lectures on digital ethics, Chammas seeks examples of AI systems designed with embedded compliance safeguards. Successful pitches might detail healthcare algorithms with transparency protocols or blockchain solutions preventing financial misconduct.
Her advisory role at the French Space Agency's Ethics Committee shows interest in governance models for high-risk industries. Target pitches about aerospace companies implementing novel risk-assessment frameworks or energy firms reconciling ESG commitments with technological constraints.
"True compliance isn't about avoiding penalties – it's about designing organizations where ethics become operational DNA."
Awarded for her comparative study of US-EU antitrust regulations at Columbia University, this prestigious grant recognized early potential in transnational legal analysis. The Fulbright program, known for selecting <1% of applicants, underscores Chammas' academic rigor in bridging policy and practice.
As one of 12 experts on Belgium's governmental AI Ethics Committee, Chammas helps shape EU-wide standards for algorithmic accountability. This role positions her at the nexus of technological innovation and regulatory development, particularly regarding machine learning in financial services and healthcare.
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