2025 was supposed to be the year artificial intelligence and data-driven systems finally delivered on their promise: efficiency, inclusion, and innovation. Instead, it became a year of hard lessons. Across governments, corporations, and platforms, repeated data and AI failures exposed a familiar truth. Technology is only as ethical as the systems of power that shape it. For women, marginalized communities, and digital rights defenders, these missteps were not abstract “tech problems.” They had real consequences: surveillance without consent, automated exclusion, silencing of voices, and deepened inequalities. As we move forward, ending data and AI disasters must start with naming what went wrong. 1. Treating Data as a Resource, Not a Right One of the biggest missteps of 2025 was the continued framing of personal data as a commodity rather than a human rights issue. Governments and companies rushed to collect, share, and monetize data without meaningful consent, transparenc...
Shetechtive Uganda blog is about issues at the intersection of cyberspace , human rights and global security