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Topics:
Artificial Intelligence
Description
As AI tools become more accessible, not-for-profits have new opportunities to enhance operations—but also new responsibilities to ensure technology is used ethically. This practical module explores real-life dilemmas and introduces the CARE'ing framework (Consequences, Accountability, Responsibility, Explainability) to guide ethical AI decisions. In just 20 minutes, learners will work through relatable scenarios, build confidence in recognising ethical risks, and walk away with tools to align AI use with their organisation’s values.
This course is designed to teach participants:
- Learn about key ethical issues in AI, including fairness, accountability, and transparency.
- Discover a simple framework to help assess and manage ethical risks.
- Apply the framework to address real-world AI dilemmas and deliver practical solutions.
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Course resources will be available for 12 months from the date of enrolment, so please make sure you access what you need before the 12 months are up.
Before registering for an external course, check the price and review the provider’s terms and conditions.
These are a summary of key terms and conditions, available in full here.
The digital learning program is made possible by the work of Infoxchange and our generous supporters. You can help us expand the program and provide more of these valuable resources to the for-purpose sector by donating today.
Course resources will be available for 12 months from the date of enrolment, so please make sure you access what you need before the 12 months are up.
Before registering for an external course, check the price and review the provider’s terms and conditions.
These are a summary of key terms and conditions, available in full here.
The digital learning program is made possible by the work of Infoxchange and our generous supporters. You can help us expand the program and provide more of these valuable resources to the for-purpose sector by donating today.
