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The lure of new technology such as Artificial Intelligence (AI) and Machine Learning (ML) seemingly promises humanity a magic bullet, a solution to all our everyday needs. However, what we need to do is build resilient systems around a well-being economy vs. fixing a broken one with expensive toys. As digital creators and technologists, we tell ourselves that technology is neutral, but that’s naive. In an ideal world, AI/ML should be solving complex social needs, not creating more communication filter bubbles like TikTok. AI/ML as technology, is not a solution in itself. Like current digital technologies, its value is contextual to human needs and in the applications used by people through experiences. It feeds on data to generate models that, when applied, help people learn through human-in-the-loop feedback loops and reinforce specific behaviors that drive people to make more informed (data-driven) decisions. As business leaders, technologists, and designers of digital experiences, we must create beneficial solutions with ethical goals in order for our tech to follow suit. This webinar will utilize Futures Thinking, Systems Thinking, and Innovation Design to explore principles and strategies for designing responsible AI solutions. You’ll walk away with inspiration for what's possible and some tactical approaches to guide decision-making around AI. Presenters: Rachael Acker VP, Experience Strategy & Research Mad*Pow Jesse Flores Senior Experience Strategist Mad*Pow /// To learn more, please reach out to solutions@madpow.net or visit madpow.com