Deadline: Ongoing
Are you interested in using AI in an equitable and responsible manner? Datocracy is proud to announce the launch of its FREE course: How to Manage Data and AI Responsibly. This transformative learning experience, created by experts from the Global Majority, equips participants with the foundational knowledge and practical skills needed to navigate data and AI ethically and effectively.
This course is designed for NGO workers, government employees, leaders of micro-, small- and medium-sized enterprises (MSMEs), and communities across the Global Majority. It’s not just about learning to use data and AI—it’s about leveraging these tools ethically, securely, and in ways that genuinely serve people where you live and work.
Benefits
- Foundational theory and practical skills for purpose-driven navigation of data & AI achieving long-term, community-centered impact.
- Master the skills to protect sensitive information, safeguard privacy, and respect the dignity of those whose data you manage
- Learn to assess risks and opportunities in data use, empowering you to make informed and responsible decisions.
- Gain a clear understanding of key legal and regulatory frameworks around data and AI to stay compliant while holding fast to ethical principles.
- Build confidence in applying critical thinking to complex data scenarios for responsible and effective decision-making. The final assessment includes applying practical data skills gained during the course.
- Champion inclusivity and equity using data & AI to promote human rights and create fair outcomes.
Eligibility
- Open to anyone looking to responsibly harness the power of AI while championing equity and inclusivity.
- Whether you’re a beginner or experienced professional, this course will empower you to make ethical decisions that drive positive change.
Application
- Course launch date: Monday, 17 February 2025
- Course length: 5 weeks, if the instructor-led training route is selected
For more information, visit Datocracy How to Manage Data and AI Responsibly Course.
