AI in the Headlines: Begins by showcasing recent news stories or examples of AI applications that highlight ethical concerns or societal implications (e.g., biased algorithms, autonomous weapons, job displacement).

Program Overview: An overview of the learning objectives and emphasize the importance of ethical considerations in the development and use of AI.

Defining AI: A clear and concise definition of artificial intelligence, distinguishing between different types of AI (e.g., narrow AI, general AI).

Applications of AI: Exploration of various applications of AI across different sectors, including healthcare, finance, transportation, and entertainment.

AI and Society: Open dialogue about the potential benefits and challenges of AI for society, including its impact on economic growth, social interaction, and human well-being.

Bias and Discrimination: An examination of how bias can be embedded in AI algorithms, leading to discriminatory outcomes in areas like hiring, lending, and criminal justice.

Privacy and Surveillance: General discussion about the privacy implications of AI-powered surveillance technologies, data collection, and facial recognition.

Job Displacement and the Future of Work: An analysis of the potential impact of AI on employment, including job displacement and the need for workforce adaptation and reskilling.

Autonomous Weapons and the Ethics of War: Open dialogue about the ethical challenges of using AI in warfare, including the potential for autonomous weapons to make life-or-death decisions.

Accountability and Responsibility: A discussion about the challenges of assigning responsibility for the actions of AI systems and ensuring accountability for their outcomes.

Ethical Frameworks: An introduction to ethical principles and guidelines for responsible AI development, such as fairness, transparency, accountability, and human oversight.

Regulation and Policy: Open discussion about the role of government and international organizations in regulating AI and ensuring its ethical development and use.

Public Engagement and Dialogue: Emphasizes the importance of public discourse and citizen participation in shaping the future of AI.

Emerging Trends: Explores emerging trends in AI, such as the development of general AI, the increasing autonomy of AI systems, and the convergence of AI with other technologies.

Ethical Challenges: Open discussion about the ethical implications of these trends and the need for ongoing dialogue and adaptation to ensure responsible AI development.

The Role of Citizens: Empowers citizens to engage in informed discussions about AI, advocate for ethical practices, and contribute to shaping a future where AI benefits humanity.

Recap: A Summary of the key takeaways from the module.

Q&A: Time allowed for questions and discussions.

Call to Action: Encourages participants to stay informed about AI developments, engage in ethical considerations, and contribute to shaping a responsible and beneficial future for AI.