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Azure Daily 2022
by Gordon
Responsible AI dashboard: A one-stop shop for operationalizing Responsible AI in practice
AI is expected to contribute nearly $16 trillion to the global economy by 2030. There are, however, growing concerns about the ethical risks associated with AI systems. Companies acknowledge the need and benefits of operationalizing Responsible AI principles to guide their processes and actions. The big challenge, however, lies in execution; while Responsible AI is about rigorous engineering, its operationalization is tedious, manual, and time-consuming without the right tooling and infrastructure. There are minimal instructions, and few disjointed frameworks and tools available to empower data scientists explore and evaluate their models holistically. Moreover, to truly enable responsible use of AI, one require a whole new world of tools, best practices, and examples to inform their responsible data-driven decision making processes.
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