AI is one of the most transformative technologies we will encounter in our generation—to tackle business and societal problems, improve customer experiences, and spur innovation. Along with the widespread use and growing scale of AI comes the recognition that we must all build responsibly. At AWS, our commitment to developing AI in a responsible way is integral to how we build our services, engage with customers, advance science, and educate the next generation of leaders.
Hear from AWS voices on responsible AI and what it means to transform responsible AI from theory into practice. Meet Mia, an applied scientist with the AWS Machine Learning University (MLU), and learn about how MLU makes ML accessible to anyone, anytime with a new, free bias and fairness course featuring hands-on applications and why building a diverse workforce is critical.
Learn more about AWS and responsible AI: https://go.aws/3Cnm8gB
Learn more about the Machine Learning University:
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Take the free bias and fairness source from Machine Learning University: https://go.aws/3oFDMJ2
Learn more about AWS and responsible AI – https://go.aws/3Cnm8gB
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