Artificial Intelligence (AI) has become an integral part of our daily lives. However, its omnipresence brings forth complex ethical issues revolving around safety, intellectual property, privacy, and responsible use. This introductory course aims to provide a comprehensive overview of these issues, fostering constructive discussions and exploration of ethical AI principles, challenges, and best practices while experimenting with tools and prompting new ways to generate content.
The goal of the course is to inspire learners to use AI responsibly, delving into AI essentials, ethical implications, and real-world applications. Through case studies, practical exercises, and engaging forum discussions, students will sharpen their critical thinking skills and effectively navigate the ethical complexities of generative AI by exploring new tools and their applications.
Aims of the course
To comprehend the fundamental concepts and principles of ethical AI.
To critically analyse the ethical implications of AI technologies on individuals and communities.
To explore real-world examples highlighting ethical challenges in AI applications.
To discuss and develop strategies for promoting fairness, transparency, and accountability in the AI rapidly evolving scenario.
To gain insights into diverse perspectives on AI ethics and how to responsibly use AI tools.
This module aims to lay the groundwork for understanding the historical context and evolution of AI and ethics. The module explores the definitions of AI, Machine Learning, and related technologies, setting the stage for a deep dive into the ethical dimensions of AI.
Module 2 aims to deepen the understanding of the key principles of Ethical AI, focusing on fairness, accountability, transparency, safety, and privacy in AI systems. The module also delves into the ethical decision-making processes inherent in AI.
In module 3 the focus is on delving into AI tools for text and image generation, understanding their functionalities, and guiding participants in choosing the right tool based on specific goals. The module includes an activity where students create a personal repository of AI tools and rank them ba…
Module 4 is dedicated to shedding light on case studies that demonstrate the ethical application of different prompts, offering participants insights into employing user-centred approaches to create inclusive, accessible, and useful content.
Module 5 is dedicated to navigating the landscape of AI challenges and opportunities. It aims to explore the potential of AI for creating new job opportunities, enhancing efficiency, and preparing individuals for a career in a world increasingly shaped by AI systems.
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