Artificial Intelligence and Society: Ethical Implications

🤖 Explore the Ethical Implications of Artificial Intelligence and Society!
Our in-depth course on Artificial Intelligence and Society: Ethical Implications is designed for students, professionals, and policymakers interested in understanding the moral challenges of AI. Gain critical insights through expert-led modules that examine ethical concerns, societal impacts, and responsible AI development. Combine flexible learning with a recognized certification to deepen your knowledge and help shape the future of AI ethically. Enroll today and make a difference in the AI-driven world!

  • 6500 GBP$ 5 months

About corse

Artificial Intelligence (AI) has rapidly transformed various sectors, reshaping how we interact with technology and each other. As AI systems become more integrated into our daily lives, it is essential to examine the ethical implications that accompany this evolution. This course, "Artificial Intelligence and Society: Ethical Implications," is designed to provide participants with a comprehensive understanding of the ethical challenges posed by AI advancements. It will delve into the moral frameworks that guide AI development and implementation, fostering critical thinking about the consequences of these technologies on societal norms, privacy, and individual rights. Throughout the course, participants will engage with contemporary issues such as bias in AI algorithms, the impact of automation on employment, and the accountability of AI decision-making. By exploring case studies and real-world applications, attendees will gain insights into how ethical considerations can be integrated into AI practices.    

The Objectives

  • Understand the fundamental principles of AI and its societal implications.
  • Analyze ethical frameworks relevant to AI development and deployment.
  • Identify and evaluate biases present in AI systems.
  • Explore the impact of AI on privacy and data security.
  • Discuss the role of policy and regulation in AI ethics.
  • Develop strategies for ethical decision-making in AI-related projects.

Training Methodology

The training will employ a mix of lectures, interactive discussions, case studies, and group activities. This approach encourages active participation and allows for the practical application of theoretical concepts. Participants will collaborate in small groups to enhance learning and share diverse perspectives. Additionally, expert guest speakers will provide real-world insights, enriching the training experience.

WHO SHOULD ATTEND

This course is designed for professionals across various fields, including technology, business, law, and public policy. It is particularly beneficial for those involved in AI development, ethical governance, compliance, and strategy formulation. Participants seeking to integrate ethical considerations into their work with AI will find this course invaluable.

Course Outlines

Day 1: Introduction to AI and Society
  • Overview of AI technologies and their applications
  • Historical context of AI development
  • Societal changes driven by AI
  • Ethical considerations in technological advancements
  • Introduction to key ethical frameworks
  • Group discussion: Initial perceptions of AI ethics
Day 2: Understanding Ethical Frameworks
  • Overview of utilitarianism and deontological ethics
  • Virtue ethics in the context of AI
  • The role of stakeholders in ethical decision-making
  • Case studies on ethical dilemmas in AI
  • Group activity: Evaluating ethical frameworks
  • Reflection on personal values and AI
Day 3: Bias and Fairness in AI
  • Understanding algorithmic bias and its implications
  • Methods to detect and mitigate bias
  • Fairness vs. accuracy in AI systems
  • Case studies on biased AI outcomes
  • Group discussion: Strategies for fairness in AI
  • Practical exercise: Identifying bias in AI examples
Day 4: Privacy and Data Security
  • The importance of data privacy in AI systems
  • Ethical issues surrounding data collection and usage
  • Regulations affecting AI and data privacy (e.g., GDPR)
  • Case studies on data breaches and AI
  • Group activity: Designing a privacy-conscious AI system
  • Discussion on the future of data privacy in AI
Day 5: Accountability and Transparency
  • Exploring accountability in AI decision-making
  • The concept of explainability in AI
  • Ethical implications of autonomous systems
  • Case studies on accountability failures
  • Group discussion: Building transparency in AI
  • Practical exercise: Creating an accountability framework

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
   
City
Venue Start Date End Date Net Fees Details & Registration
Rome July 21, 2025 July 25, 2025 6500 GBP PDF Register
Rome August 25, 2025 August 29, 2025 6500 GBP PDF Register
Rome September 22, 2025 September 26, 2025 6500 GBP PDF Register
Rome October 27, 2025 October 31, 2025 6500 GBP PDF Register
Rome December 1, 2025 December 5, 2025 6500 GBP PDF Register
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