How Much Data Should You Disclose to AI?

How Much Data Should You Disclose to AI?

Now, imagine that same broadcast is being automatically transcribed and analyzed by an Artificial Intelligence (AI) system, turning your public comment into data that could inform national policy. This isn’t science fiction—it was a pioneering experiment conducted in Uganda just a few years ago.

As Uganda stands at the precipice of a digital revolution, this scenario forces a critical question: are we fully aware of the personal data we are disclosing to AI?

Uganda’s Digital Transformation Roadmap

Uganda is charting an ambitious course toward digital transformation. The government’s vision, anchored by the Fourth National Development Plan (NDP IV) and Vision 2040, aims to weave digital technology into the fabric of the nation.

The National Information Technology Authority-Uganda (NITA-U) recently launched a five-year strategic plan with a clear, ambitious goal: to increase the active use of e-government services from a mere 9.2% to 40% by 2030. This push includes expanding the UG-Hub platform (integrated e-government services) and increasing public satisfaction with digital services.

Complementing this is the development of Uganda’s first National AI & Emerging Technologies Strategy, led by the Ministry of ICT and National Guidance. This strategy aims to harness technologies like AI, blockchain, and cloud computing to drive growth in key sectors like agriculture, tourism, and manufacturing.

The government acknowledges that AI is a transformative force, but one that requires deliberate, strategic choices to ensure it serves the public good.

The AI-Powered Pilot: A Case Study in Data Privacy

A landmark project by UN Global Pulse’s Pulse Lab Kampala perfectly illustrates both the potential and the privacy pitfalls of AI in the Ugandan context.

The team developed an AI prototype to analyze public radio content—a primary source of information and discourse in Uganda. Using Natural Language Processing (NLP), the AI could transcribe and analyze broadcasts in Luganda and Acholi languages, tapping into the daily voices of up to 25,000 citizens.

The potential benefits are immense: from tracking the quality of public service delivery to providing real-time data on incidents like natural disasters, which are often underreported. However, this experimental work immediately sparked a crucial debate about the “ethical use of AI-based technology” and, specifically, the “protection of data privacy of the citizens behind the data”.

Even with anonymized data, the sheer scale of information being processed raised profound questions about surveillance, consent, and the right to privacy in the digital age.

The Legal Shield: Uganda’s Data Protection and Privacy Act

In response to these growing concerns, Uganda enacted the Data Protection and Privacy Act of 2019. This law is the primary legal shield designed to protect citizens’ personal data. It establishes seven core principles for handling data, which include accountability, lawfulness, minimality, and transparency .

For the everyday Ugandan, this law confers several important rights:

• Consent: Your data cannot be collected or processed without your prior consent, with very limited exceptions like national security or law enforcement.
• Access: You have the right to request access to the personal data an organization holds about you .
• Correction: You can demand that inaccurate data be corrected.
• Redress: You have the right to complain to the Personal Data Protection Office (PDPO) if your rights are violated and seek compensation.

The Act applies to anyone collecting data in Uganda and even to those outside the country who process data on Ugandan citizens. It establishes the Personal Data Protection Office (PDPO) under NITA-U to oversee its implementation.

Recently, the PDPO has been actively engaging with institutions like Makerere University to sensitize students and researchers on the legal and ethical implications of handling personal data, especially in fields like AI.

The Implementation Gap

While the legal framework exists, its effective implementation faces significant hurdles.

Despite the government’s ambition, a 2025 study on AI in Ugandan higher education revealed “critical infrastructure and data governance gaps” and a “severe human capacity deficit”.

A similar analysis of the healthcare sector pointed to “regulatory gaps, limited funding and infrastructure deficits” as major barriers, alongside a lack of clear policies on data security and ethical AI deployment.

A recent legal analysis of Uganda’s technology landscape highlights that the current laws, including the Data Protection Act, were enacted before the AI boom and are ill-equipped to address its unique challenges.

Issues like platform regulation, intermediary liability (who is responsible when AI makes a mistake?), and the specifics of cross-border data flows remain legally ambiguous and under-resourced. The PDPO itself lacks the full capacity to supervise the complex data processing activities that AI systems entail.

This creates a “compliance gap” where those who wish to follow the rules may find it difficult, while others may simply ignore them.

The Way Forward

So, are you disclosing your private data to AI? The answer is complex.

While you likely aren’t directly sharing your chat logs with a government AI today, your data is already being used in AI-powered experiments and pilot projects, from analyzing radio broadcasts to developing privacy-preserving models in healthcare .

The central challenge for Uganda is not the lack of a law, but the lack of a comprehensive, well-resourced, and enforced data governance and privacy ecosystem to accompany its ambitious digital transformation roadmap.

As the Minister of Science, Technology, and Innovation noted, “the AI revolution is our revolution”. For it to be a force for good, Uganda must choose wisely—investing in digital literacy, strengthening its regulatory institutions, and ensuring that the digital future it builds is one where the rights and privacy of its citizens are not sacrificed for the sake of innovation.