AI+ Ethics
The AI+ Ethics course delves into the ethical considerations and societal impacts of Artificial Intelligence. It covers ethical principles, the societal impact of AI technologies, and strategies for conducting social and ethical impact assessments. Participants will explore biases in data and algorithms, and learn strategies for mitigating bias and ensuring fairness. The course also addresses the need for transparency and explainable AI, including techniques for making AI models understandable to diverse stakeholders. Additionally, it examines privacy and security issues related to AI.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
All Sunset Learning dates are guaranteed to run!
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Prerequisites:
Required:
- Having a basic grasp of ethical principles and moral reasoning.
- Being interested in how AI impacts society and daily life, and being open to change.
- Willing to understand AI ethical frameworks and guidelines. Please let me know if this approach to language and tone works.
Recommended:
- AI+ Everyone or AI+ Executive
Target Audience:
- AI Engineer
- IT Professional
Course Objectives:
- Understand the ethical considerations in AI: Gain knowledge of the ethical implications of AI technologies and their impact on society.
- Evaluate societal impacts: Examine the societal consequences of AI technologies and develop strategies for assessing their social and ethical impact.
- Mitigate bias and ensure fairness: Explore biases in data and algorithms, and learn strategies to mitigate bias and ensure fairness in AI systems.
- Ensure transparency and explainability: Understand the importance of transparency in AI systems and learn techniques for explaining AI models to diverse stakeholders.
- Address privacy, security, accountability, and legal issues: Analyze privacy and security concerns in AI, understand concepts of accountability, and become familiar with relevant legal and regulatory frameworks, aiming to develop ethically aligned AI systems compliant with global standards.
Course Outline:
Overview of AI Ethics & Societal Impact
- Introduction to Ethical Considerations in AI
- Understanding The Societal Impact of AI Technologies
- Strategies for Conducting Social and Ethical Impact Assessments
Bias and Fairness in AI
- Exploration of Biases in Data and Algorithms
- Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
Transparency and Explainable AI
- Importance of Transparent AI Systems
- Techniques for Explaining AI Models to Diverse Stakeholders
- Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
Privacy and Security issues in AI
- Examination of Privacy Concerns Related to AI
- Strategies for Ensuring the Security of AI Systems and Data
Accountability and Responsibility
- Concepts of Accountability in AI Development and Deployment
- Responsibilities of AI Practitioners and Organizations