The in-class schedule is currently unavailable. Check our online instructor-led schedule or leave your contact details to send you schedule updates.
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 well-being of their organizations.
hours
6 hours of instructor led training or unlimited one year access for E-Learning
language
English
Summary
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 well-being of their organizations.
prerequisites
- Basic grasp of ethical principles and moral reasoning
- Interest in how AI impacts society and daily life, and openness to change
- Willingness to understand AI ethical frameworks and guidelines
Topics Covered
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- 1.1 Introduction to Ethical Considerations in AI
- 1.2 Understanding The Societal Impact of AI Technologies
- 1.3 Strategies for Conducting Social and Ethical Impact Assessments
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- 2.1 Exploration of Biases in Data and Algorithms
- 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
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- 3.1 Importance of Transparent AI Systems
- 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
- 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
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- Study frameworks for holding organizations accountable for the ethical use of AI.
- Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
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- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
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- 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
- 6.2 Understanding the Global Regulatory Issues for AI Technologies
- 6.3 Case Studies: GDPR Compliance
- 6.4 Legal Compliance of AI Tools
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- 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
- 7.2 Case Studies and Applications of Ethical Decision-Making
- 7.3 Use of Simulation Platforms in Ethical Decision-Making
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- 8.1 Principles and Functions of International AI Governance
- 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
- 8.3 Case Studies on AI Governance
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- 9.1 Explore Standards: IEEE’s Ethically Aligned Design
- 9.2 Comparative Case Studies on Standard Implementations
- 9.3 Tools for Evaluating AI Systems Against Global Standards
minimize course outline
The in-class schedule is currently unavailable. Check our online instructor-led schedule or leave your contact details to send you schedule updates.