AI+ Ethics (eLearning+Exam)

The AI+ Ethics Certification is designed to provide a comprehensive overview of
ethical considerations in Artificial Intelligence (AI). It is structured to deliver detailed
knowledge on ethics associated with AI and their societal impact. It also provides a
solid framework for comprehending the broader consequences of AI by introducing
detailed social and ethical impact assessments. Further, it highlights data and
algorithm biases, offering practical strategies for reducing them and creating more
fair and nondiscriminatory AI systems. Guided projects and real-world case
evaluations demonstrate how to explain AI models to varied stakeholders,
emphasizing the necessity for AI transparency.

All our certifications provide a high-level understanding of AI ethics; however, this
certification offers a much deeper dive into the subject. It goes beyond surface-level
concepts, enabling learners to engage with complex ethical dilemmas and to develop a understanding of AI’s societal implications. This course is ideal for those looking to explore the complexities of AI ethics more thoroughly and to gain practical skills in addressing ethical challenges in AI development and deployment.

The curriculum of the certification addresses privacy and data security in Artificial
Intelligence (AI), covering accountability, ethical duties of developers, organizational
practices, and solutions for protecting sensitive information. Additionally, it includes
an in-depth examination of the European Union (EU) AI Act, exploring how it
intersects with global challenges like General Data Protection Regulation (GDPR)
compliance. Participants also learn ethical decision-making frameworks from
computer science, philosophy, and sociology to guide AI development and
deployment. The course also covers AI governance risks, ethical policy best practices,
and global standards like the Institute of Electrical and Electronics Engineers (IEEE)’s
Ethically Aligned Design, equipping learners with the knowledge needed to navigate
the evolving landscape of AI ethics.

We will cover the following topics in detail to help you understand the incorporation
of AI into Ethics:

• Overview of AI Ethics & Societal Impact
• Bias and Fairness in AI
• Transparency and Explainable AI
• Privacy and Security Issues in AI
• Accountability and Responsibility
• Legal and Regulatory Issues
• Ethical Decision-Making Frameworks
• AI Governance and Best Practices
• Global AI Ethics Standards