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- James Bellingham
Artificial Intelligence (AI) is rapidly moving from the laboratory to application and promises to permeate every aspect of society and commerce. Recognizing the transformational aspects of this field, Johns Hopkins is making major internal investments to build programs around the assurance of AI, fundamental AI technologies, and domain-specific application. Core AI technologies function largely as black boxes, creating substantial risks in deployment—how should organizations think about these risks and manage them? Given that existing AI is built largely on data, what lessons are there to be learned for societal applications of AI from activities such as the COVID Portal?
Robotics is playing an increasingly important role in human enterprises in the ocean. Although out-of-sight from the average citizen, these activities impact our day-to-day lives, as the ocean is increasingly important as a source of energy, a source of mineral resources and as a nexus of climate impacts. How will these enterprises investing in ocean infrastructure for energy and telecommunications be shaped by rapidly advancing robotic capabilities? What can be learned from the science community’s sophisticated ocean observation systems-of-systems approaches leveraging distributed autonomous systems? What lessons do marine robotics offer for other technological efforts in harsh, energy and communications challenged environments?