Course Details

Building Ethical AI: AI Ethics & Responsible AI Training Course

INTRODUCTION

As Artificial Intelligence (AI) becomes increasingly integrated into our lives and businesses, the ethical implications of its development and deployment are paramount. This AI Ethics & Responsible AI Training Course provides a comprehensive understanding of the ethical challenges and best practices for creating and deploying AI systems responsibly. Participants will learn to identify and mitigate bias, ensure transparency, and develop AI that aligns with human values and societal good. This program is designed to empower individuals and organizations to build trust and accountability in AI, fostering a future where AI benefits all.

DURATION

5 days

TARGET AUDIENCE

This course is designed for:

• AI developers and engineers.
• Data scientists and machine learning practitioners.
• Business leaders and managers involved in AI adoption.
• Policy makers and regulators.
• Ethicists and legal professionals.
• Anyone interested in the ethical implications of AI.

COURSE OBJECTIVES

Upon completion of this course, participants will be able to:

• Understand the key ethical principles and frameworks related to AI.
• Identify and mitigate bias in AI algorithms and datasets.
• Ensure transparency and explainability in AI systems.
• Develop AI systems that respect privacy and data security.
• Understand the legal and regulatory landscape of AI ethics.
• Implement responsible AI practices throughout the AI lifecycle.
• Evaluate the social and environmental impact of AI.
• Foster a culture of ethical AI development and deployment.

COURSE MODULES

• Introduction to AI Ethics:
• Defining AI ethics and its importance.
• Exploring key ethical principles (fairness, accountability, transparency).
• Understanding the historical context and evolution of AI ethics.
• The difference between AI safety and AI ethics.
• Bias and Fairness in AI:
• Identifying sources of bias in data and algorithms.
• Techniques for detecting and mitigating bias.
• Understanding the impact of bias on different populations.
• Implementing fairness metrics and evaluations.
• Transparency and Explainability:
• Understanding the importance of explainable AI (XAI).
• Techniques for making AI systems more transparent.
• Developing methods for communicating AI decisions.
• Understanding the legal requirements for explainability.
• Privacy and Data Security:
• Understanding privacy risks associated with AI.
• Implementing privacy-preserving AI techniques.
• Ensuring compliance with data protection regulations (e.g., GDPR).
• Understanding the importance of data anonymization and pseudonymization.
• Legal and Regulatory Landscape:
• Exploring existing and emerging AI regulations.
• Understanding legal liabilities and responsibilities.
• Navigating international AI ethics frameworks.
• Understanding the role of standards and certifications.
• Responsible AI Practices:
• Implementing ethical guidelines and frameworks.
• Developing AI impact assessments.
• Establishing ethical review processes.
• Understanding how to implement responsible AI governance.
• Social and Environmental Impact:
• Evaluating the social and environmental consequences of AI.
• Addressing issues related to AI and labor.
• Understanding the role of AI in sustainable development.
• Understanding how to implement a social impact assessment.
• Building an Ethical AI Culture:
• Fostering a culture of ethical awareness and responsibility.
• Implementing ethics training and education programs.
• Encouraging stakeholder engagement and dialogue.
• Understanding the future of AI ethics and governance.

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com