This infographic examines the intersection of AI and privacy, highlighting accountability, transparency, and ethical governance as top concerns. It identifies key AI privacy risks such as data misuse, bias, explainability challenges, security threats, and inaccurate outputs. The document emphasizes the importance of documentation, transparency reporting, and human oversight to maintain trust. It outlines global AI regulatory approaches, including the EU AI Act, Canada’s AIDA, and sector-based models in the U.S. and UK. The infographic also maps privacy principles across the software development lifecycle, reinforcing that privacy by design, ongoing monitoring, and stakeholder collaboration are essential for responsible AI deployment.

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