Compliance teams in the financial sector are facing overwhelming volumes of communications as regulators demand increased vigilance. The optimal approach combines AI’s capabilities in pattern recognition with human oversight, ensuring that compliance officers can apply contextual judgment to flagged communications.
Hungary has enacted amendments that expand the use of facial recognition technology to include minor infractions and peaceful protests, violating the EU AI Act. This legislation risks discouraging individuals from exercising their fundamental rights, such as freedom of assembly and expression.
AI is transforming communication surveillance by managing vast amounts of data and identifying risks more accurately, making compliance proactive rather than reactive. However, challenges in deployment and ethical considerations remain, highlighting the need for human oversight and a balance between compliance and personal freedoms.
Hungary’s plan to use facial recognition systems against participants in pride events may violate the EU’s AI Act, which prohibits such technologies for real-time identification. Critics, including MEP Daniel Freund, argue that this move undermines democratic values and risks the rights to personal data protection for those involved.
Amnesty International’s report highlights that Denmark’s welfare authority risks discriminating against marginalized groups through its use of AI tools for social benefits fraud investigations. The sweeping surveillance practices have eroded individual privacy and created an atmosphere of fear among those targeted by these algorithms.