ECE 598 RKI - Special Topics in ECE - Dependable AI Systems
Subject offerings of new and developing areas of knowledge in electrical and computer engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.
The emergence of AI systems and their ubiquitous adoption in automating tasks that involve humans in critical application domains (e.g., autonomous vehicles, medical assistants/devices, manufacturing, agriculture, and smart buildings) means that it is of paramount importance that we be able to place trust in these technologies. In a broad sense, a trustworthy AI system must be dependable (i.e., ensure safety, resilience, robustness, and security of its own and its operational environment) and reasonable (i.e., provide the reasoning behind produced decisions/actions). Indeed, the absence of such features not only makes people reluctant to deploy technology in the field despite successful demonstrations, but also leaves systems vulnerable to security hacks and crashes that ultimately impact human safety. As Schneir states, traditionally, computers have only outperformed humans at speed, scale, and scope whereas humans excelled at thinking, reasoning, adapting, and understanding. However,
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Course Level: Graduate