Ethical Data Collection for AI Implementation
With Dr. Brandeis Marshall
Liked by 8 users
Duration: 53m
Skill level: Intermediate
Released: 10/29/2025
Course details
For any AI implementation, data collection is the first major computation stage within the AI development lifecycle. The quality, trustworthiness, and long-term value of AI-powered products hinges on incorporating ethical practices, which includes maintaining transparency and accountability. Ethical considerations include respecting the rights and privacy of individuals whose data is being collected, avoiding data misuse, and ensuring fairness while building trust. In this course, instructor Brandeis Marshall covers key strategies that reinforce ethical data collection management, respect people's autonomy, and comply with legal regulations. Along the way, gather insights on the impact of implementing these strategies on knowledge workers—and learn how to address their concerns.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
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Contents
What’s included
- Test your knowledge 3 quizzes
- Learn on the go Access on tablet and phone
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