AI+ Ethics

The AI+ Ethics Certification is an industry-oriented program enabling professionals to distinguish themselves in ethically utilizing emerging AI technologies. Business and government organizations actively seek ethics professionals to mitigate risks and guide decision-making in AI application design. The brand's values and financial impacts resulting from ethical violations can significantly affect an organization's image. Ethical leaders play a crucial role in implementing strategies to promote fairness, minimize risks, and uphold ethical standards, ensuring the overall wellbeing of their organizations.

Upon successful completion of this AI+ Ethics certificate program, participants gain the ability to understand fundamental ethical considerations and their societal impact. They also recognize the influence of biased data and the importance of establishing fair and equitable AI systems. Additionally, participants can implement transparency in AI system development to mitigate bias, comprehend privacy and security concerns in design and deployment, and realize accountability and responsibility in AI system deployment.

Prerequisites

• Basic knowledge of artificial intelligence, machine learning concepts, and their applications.

• Understanding of the social, cultural, and political implications of AI technologies.

• Understanding of professional ethics, including honesty, integrity, and responsibility.

• Exposure to real-world case studies that highlight ethical dilemmas in AI, promoting practical understanding.

• Ability to critically assess AI technologies and make ethical decisions in designing, deploying, and managing AI systems.

• Familiarity with relevant laws, regulations, and industry standards that govern AI usage.

Exams

• Number of Questions: 50

• Passing Score: 35/50 or 70%

• Duration:90 Minutes

• Format: Online via AI proctoring platform

• Question Type: Multiple Choice/Multiple Response

Exam Overview:

• Overview of AI Ethics & Societal Impact - 10%

• Bias and Fairness in AI - 5%

• Transparency and Explainable AI - 10%

• Privacy and Security Issues in AI - 5%

• Accountability and Responsibility - 10%

• Legal and Regulatory Issues - 15%

• Ethical Decision-Making Frameworks - 15%

• AI Governance & Best Practices - 15%

• Global AI Ethics Standards - 15%