About corse

The rapid advancement of artificial intelligence (AI) presents remarkable opportunities alongside significant ethical dilemmas. As organizations increasingly integrate AI into their operations, understanding the moral implications becomes essential for responsible decision-making. This training course delves into the ethical frameworks that guide AI development and deployment, emphasizing the need for accountability, transparency, and fairness. Participants will explore case studies that illuminate the potential risks and benefits associated with AI technologies, fostering a deep understanding of the ethical landscape that professionals must navigate. This comprehensive program is designed for individuals seeking to enhance their knowledge of AI ethics and its practical applications. By addressing critical questions related to bias, privacy, and societal impact, the course equips attendees with the tools necessary to evaluate and mitigate ethical risks in AI systems. Through interactive discussions and collaborative exercises, participants will engage with experts in the field, gaining insights that are crucial for shaping the future of AI in a manner that upholds ethical standards.

The Objectives

• Understand the key ethical principles relevant to artificial intelligence.
• Analyze real-world case studies to identify ethical challenges in AI.
• Develop frameworks for ethical decision-making in AI projects.
• Explore the implications of bias and fairness in AI systems.
• Evaluate privacy concerns associated with AI technologies.
• Foster a culture of ethical awareness in AI development teams.

Training Methodology

• Interactive lectures led by industry experts.
• Group discussions to facilitate knowledge sharing.
• Case study analysis for practical insights.
• Hands-on activities to apply ethical principles.
• Role-playing scenarios to understand stakeholder perspectives.
• Feedback sessions to enhance learning outcomes.

WHO SHOULD ATTEND

• AI developers and engineers.
• Data scientists and analysts.
• Business leaders and decision-makers.
• Policy makers and regulators.
• Researchers in technology and ethics.
• Anyone interested in the ethical implications of AI.

Course Outlines

Day 1: Introduction to AI Ethics

• Overview of artificial intelligence and its applications.
• Historical context of ethics in technology.
• Key ethical principles: fairness, accountability, and transparency.
• Introduction to ethical frameworks in AI.
• Discussion on the importance of ethics in AI development.
• Group activity: Identifying ethical dilemmas in AI.

    Day 2: Bias in AI Systems

• Understanding bias: definitions and types.
• Case studies of biased AI outcomes.
• Techniques for identifying bias in datasets.
• Strategies for mitigating bias in AI models.
• Group discussion: Personal experiences with bias in AI.
• Tools and frameworks for fair AI development.

Day 3: Privacy and Data Protection

• Overview of data privacy laws and regulations.
• Ethical implications of data collection and usage.
• Analyzing the balance between innovation and privacy.
• Discussion on informed consent in AI systems.
• Techniques for ensuring data protection in AI.
• Case studies of privacy breaches related to AI.

Day 4: Accountability and Responsibility

• Defining accountability in the context of AI.
• Exploring the role of stakeholders in AI governance.
• Case studies of accountability failures in AI applications.
• Developing accountability frameworks for AI projects.
• Group activity: Creating an accountability plan.
• Discussion on the future of AI governance.

Day 5: Societal Impact of AI

• Understanding the broader societal implications of AI.
• Exploring the digital divide and its ethical concerns.
• Case studies on AI's impact on employment and economy.
• Discussion on AI in healthcare and related ethical challenges.
• Strategies for promoting equity in AI deployment.
• Group discussion: Envisioning a responsible AI future.

Training Method?

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a copy of the presentation
• Slides and handouts

Training Method?

The course agenda will be as follows:

• Technical Session 30-10.00 am
• Coffee Break 00-10.15 am
• Technical Session 15-12.15 noon
• Coffee Break 15-12.45 pm
• Technical Session 45-02.30 pm
• Course Ends 30 pm