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What happens when AI systems go rouge terminator style!? Ok, maybe that is too much of an exaggerated example. What happens when Artificial Intelligence systems are not designed and deployed responsibly? These technologies continue to permeate modern living and it is increasingly important to ensure that these AI systems are architected, deployed, and maintained with responsibility in mind. Responsible AI design encompasses a wide range of ethical considerations including transparency, fairness, accountability, and the ability to understand and explain AI decision-making processes. With Explainable AI (XAI) principles at the forefront of design, referring to the capability of AI systems to provide interpretable and understandable explanations for their decisions and actions, users are able to make informed decisions and facilitate the building of trust in the systems they use. XAI also empowers users to monitor ethical concerns around bias, errors, discrimination, and the "black box". Join Dr. Shaista Hussain, Co-Founder of SAIF CHECK, in her presentation of, "Responsible AI Design Through Explainability Models". Sign up for The Human + AI Symposium today! ================================= Be sure to follow SWARM Community to stay up to date with the latest events and reshare if you find the event interesting!
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