Enroll Course: https://www.coursera.org/learn/ethical-issues-in-ai-and-professional-ethics
The course ‘Ethical Issues in AI and Professional Ethics’ offered on Coursera provides a comprehensive exploration of the moral and ethical challenges posed by modern computing technologies. It is the second installment in a three-part series that critically examines how algorithms, AI systems, and professional practices influence society.
This course is ideal for anyone interested in understanding the ethical foundations of technology, from students and educators to professionals working in AI, data science, and related fields. The curriculum is thoughtfully structured, starting with fundamental ethical theories such as Kantianism, Virtue Ethics, Utilitarianism, and Social Contract Theory, which set the stage for deeper discussions.
One of the most compelling modules addresses algorithmic bias, with real-world case studies on facial recognition and racial bias. The course also explores gender and racial disparities in AI, highlighting the importance of diversity in the tech workforce and the ethical responsibilities of professionals. The segment on professional ethics emphasizes the ACM code of ethics and dives into issues surrounding diversity, referencing notable examples like Google and Timnit Gebru.
The final week on generative AI and future developments in AI ethics provides invaluable insights into the potential risks and the ethical horizon of AI technology.
Overall, I highly recommend this course for its clarity, relevance, and depth. It not only equips learners with the knowledge to analyze ethical dilemmas but also encourages responsible engagement with AI innovations. Whether you’re an aspiring ethicist, technologist, or policymaker, this course offers essential insights to navigate the evolving landscape of artificial intelligence ethically and responsibly.
Enroll Course: https://www.coursera.org/learn/ethical-issues-in-ai-and-professional-ethics