Disruptive technology applications, driven by the advent of big-data and analytics, global digital connectivity, cloud computing and cheaper storage and processing power, have led to new suite of data-driven technologies including Artificial Intelligence (AI), blockchain, Internet of Things (IoT), gene-editing, synthetic biology, 3D printing, drone technology and others.
While AI concepts date back to the early dates of Computer Sciences, it is now that we are seeing AI uptake in fields such as health, climate change, finance, and many others of relevance to development.
The increasing pace of development and diffusion is reshaping the way economic progress takes place for countries across the world, with deep implications for national development and livelihoods. This is an unprecedented opportunity for the developing countries to leapfrog. However Client countries’ governments face considerable challenges and risks, such as threats to employment, privacy, security, agency, inclusion and human rights. The debate about the impact of AI on the future of work is one good example. AI-based analytics and tools in the public sector pose new questions about transparency, accountability and auditability of decision-making.
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