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We are pleased to announce that Petra Fernandes, Partner at BMA, will be the speaker at the upcoming webinar “Who Owns AI Inside an Organisation? — Operational Responsibility” organized by the EuroCC Slovakia (National Supercomputing Centre), as part of the EuroCC project , in cooperation with EuroCC Portugal, within the AI Accountability Dialogue Series.
The webinar will take place on 3 March and will be held in English. Registration link below.
The session will focus on the practical implications of the EU AI Act, which introduces new roles and obligations that reshape how responsibility for AI systems is distributed within organisations. In practice, AI ownership is often fragmented across legal, technical, compliance, data, and business functions, and further complicated by reliance on third-party and foundation models.
This webinar will explore how organizations can address these challenges by distinguishing operational responsibility from operational ownership, and by clarifying decision rights and accountability throughout the AI system lifecycle. It will also cover practical governance mechanisms aligned with organizational size and risk, including internal monitoring, documentation, and traceability of AI systems.
Particular attention will be given to common deployment challenges such as unclear ownership boundaries, reliance on external providers, and the emergence of informal or “shadow” AI use.
We are pleased to announce that Petra Fernandes, Partner at BMA, will be the speaker at the upcoming webinar “Who Owns AI Inside an Organisation? — Operational Responsibility” organized by the EuroCC Slovakia (National Supercomputing Centre), as part of the EuroCC project , in cooperation with EuroCC Portugal, within the AI Accountability Dialogue Series.
The webinar will take place on 3 March and will be held in English. Registration link below.
The session will focus on the practical implications of the EU AI Act, which introduces new roles and obligations that reshape how responsibility for AI systems is distributed within organisations. In practice, AI ownership is often fragmented across legal, technical, compliance, data, and business functions, and further complicated by reliance on third-party and foundation models.
This webinar will explore how organizations can address these challenges by distinguishing operational responsibility from operational ownership, and by clarifying decision rights and accountability throughout the AI system lifecycle. It will also cover practical governance mechanisms aligned with organizational size and risk, including internal monitoring, documentation, and traceability of AI systems.
Particular attention will be given to common deployment challenges such as unclear ownership boundaries, reliance on external providers, and the emergence of informal or “shadow” AI use.