Marching towards excellence in life and learning
What you will learn
Introduction to AI and Ethics
Bias and Fairness in AI
Privacy, Surveillance and Data Ethics
AI in Decision-Making and Accountability
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- Marching towards excellence in life and learning
- Explore the fundamental ethical theories and philosophical frameworks that serve as a moral compass in navigating the complex landscape of artificial intelligence.
- Analyze the profound implications of human-AI interaction, examining how intelligent systems reshape our cognitive processes, social bonds, and sense of identity.
- Delve into the critical issues of AI’s broader societal impact, from its transformative influence on labor markets and social equity to the urgent necessity for proactive ethical governance.
- Investigate the crucial role of trust and transparency in AI, understanding the principles of explainable AI (XAI) and the challenges of fostering public confidence in advanced algorithmic systems.
- Examine the ethical considerations surrounding autonomous systems, debating the moral responsibilities of self-executing AI in contexts ranging from transportation to defense.
- Discuss the global ethical dimensions of AI, acknowledging diverse cultural perspectives and the imperative for international cooperation in establishing shared moral standards for technological advancement.
- Uncover the environmental footprint of AI, exploring the energy demands of complex models and advocating for sustainable, ethically conscious AI development practices.
- Master the integration of ethical principles directly into the AI lifecycle, from initial conceptualization and data sourcing to model deployment and continuous oversight.
- Address the unique professional ethical duties and dilemmas faced by AI developers, researchers, and policy advisors, fostering a culture of responsible innovation within the field.
- Critically evaluate the feasibility and desirability of designing “moral machines,” pondering whether AI can truly embody ethical decision-making and the philosophical challenges involved.
- Understand the evolving landscape of AI regulation and international policy, preparing to contribute to discussions that shape the future of technology and society.
- Pros of this course:
- Develop a crucial interdisciplinary skillset, blending technical understanding with ethical reasoning, highly valued in today’s rapidly evolving job market.
- Gain a forward-thinking perspective on emerging technologies, positioning you as an informed leader capable of guiding responsible AI innovation.
- Cultivate critical thinking and ethical foresight, empowering you to anticipate and address the moral challenges posed by AI before they escalate.
- Cons of this course:
- The field of AI ethics is highly dynamic and subject to rapid change, meaning some case studies or regulatory frameworks discussed may evolve shortly after the course concludes.
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