AI Ethics: Micro-Certification Courses
Overview
These two micro-courses on AI Ethics are designed to equip individuals with the knowledge and skills to responsibly use, develop, and deploy AI systems. The courses address key ethical challenges in AI, such as data protection, bias, transparency, and accountability, while highlighting benefits like informed decision-making, risk mitigation, compliance, and trust-building. Each course is self-paced, interactive, and tailored to foster responsible AI practices.
Problems identified
For individuals:
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Data protection: understanding how to handle personal data when using AI-powered tools.
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Critical thinking: developing skills to critically evaluate AI-generated information and recommendations.
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Avoiding over-reliance: recognising the limitations of AI and avoiding over-reliance on AI-generated output.
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Digital literacy: understanding how AI systems work and their potential biases.
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Responsible AI use: using AI in ways that align with personal and professional values.
The benefits to businesses would be:
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Informed decision-making: making informed decisions about AI adoption and deployment.
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Risk management: identifying and mitigating potential risks associated with AI use.
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Compliance: ensuring AI use complies with regulatory requirements and industry standards.
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Responsible AI procurement: evaluating and procuring AI solutions that align with organizational values.
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AI governance: developing and implementing effective AI governance policies and procedures.
Individuals who take these micro courses will understand their responsibilities and potential implications of using AI so that they can make informed decisions about AI use and mitigate potential risks. Businesses will better understand the implications of AI adoption and learn to educate their stakeholders about responsible AI adoption and use so as to minimise risks to the business and maximise benefits.
- Teacher: Admin User
- Teacher: Admin User
