The constantly shifting paradigms of humanitarian actions, owing to the increased complexity and range of needs, has resulted in a steep demand for innovation in the area. Technological advancements, like Big Data analytics and AI, have proved effective and efficient for humanitarian applications to date. However, like any other innovation, it has also introduced new challenges and risks, making the end-user vulnerable to its repercussions. Redesigning AI seems to be the most plausible solution to accommodate the dynamics of various parameters within the sector. The world has been in constant strife to meet people's demands while improving the efficiency in the humanitarian sector since the very beginning.

Does this have to be the way? Artificial intelligence was supposed to boost productivity and create better futures in medicine, transportation, and workplaces. Instead, AI research and development has focused on only a few sectors, ones that are having a net negative impact for humanity, MIT economistDaron Acemogluargues in "Redesigning AI," a Boston Review book. "Our current trajectory automates work to an excessive degree while refusing to invest in human productivity; further advances will displace workers and fail to create new opportunities," Acemoglu writes. AI also threatens "democracy and individual freedoms," he writes.