
Learn to use AI responsibly and ethically to benefit people and society while recognizing AI biases and limitations. Pair AI with human critical thinking to prevent harms and protect privacy.
Explore how systemic bias and data bias shape AI outputs, and recognize how values embedded in data and design influence responsible use and critical thinking.
Emilio shows how to implement responsible AI by linking AI experts with product teams, auditing data for bias and inclusivity, and encouraging ongoing feedback to improve representations across diverse users.
Shaun from Google Research discusses building AI that works for everyone by addressing bias, ensuring representative data, and designing transparent systems that empower people with disabilities.
Vint shows ai for positive change, from wildfire alerts to protein folding research, and urges ai literacy that balances power with peril.
Review how responsible AI mitigates bias and harms by examining systemic and data biases, the need for critical thinking, privacy, and staying up to date with AI developments.
This course is part of the Google AI Essentials program. In an era where artificial intelligence offers computational power and speed, you - the human user - remain the primary driver of direction, judgment, and critical thinking. This curriculum teaches you how to integrate generative AI tools into your workflow ethically, ensuring that your use of the technology avoids inadvertent harm. You will discover that responsible AI use is more than just a technical checkbox; it is a profound professional responsibility to ensure that people are treated with fairness, equity, and respect.
To navigate this landscape effectively, you will learn to identify the critical limitations of AI, specifically focusing on "hallucinations": outputs that appear highly plausible but are factually incorrect or nonsensical. A significant portion of the course is dedicated to identifying and mitigating AI-driven harms. You will examine allocative harm, where systems may unfairly withhold resources or opportunities, as well as representational harm, which occurs when AI reinforces social stereotypes or narrow generalizations. To combat these risks, you will master practical strategies for protecting sensitive personal data and ensuring that your datasets and prompts are representative of a diverse global population. By the end of this course, you will be equipped with a "human-in-the-loop" mindset, prepared to use AI as a powerful complement to your unique human abilities and professional integrity.
When you enroll in this course, you'll also be enrolled in the full certificate path.




