In this episode of Jijuze, Brian discusses the critical issue of the intersection of algorithmic oversight, financial compliance, and data privacy in Kenya. He explores the use of artificial intelligence (AI) by companies like Safaricom, for tracking transaction behaviors, identifying it as both a revolutionary and controversial move. Brian illuminates the dilemma of using these advanced systems, which can trace illicit financial flows and potentially dismantle criminal syndicates, but simultaneously invade privacy by monitoring lawful activities of regular citizens. He presents a cautionary example of Betika, a betting platform found guilty of violating data privacy rules, emphasizing the risk of abusive data collection by corporate actors. Moving towards a solution, Brian suggests strict protocols for data access, explainable AI, and robust oversight to prevent excessive surveillance and safeguard individual rights. In the next episode, Brian promises to delve deeper into these topics, aiming to reconcile the triad of compliance, innovation, and individual rights.
- How AI in Fraud Detection Is Redefining Mobile Money Security in Africa
- AI, other technology the “only answer” to AML challenges in evolving threat landscape, says ACAMS report - Thomson Reuters Institute
- Safaricom flags money laundering on M-PESA linked to betting firms
- Betika ordered to pay KSh 250,000 for breaching data privacy rules - iGamingToday.com - News, insights and Slots review