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Beyond Code: Ethics and Bias in AI

< Level: Beginner >

Ethics in AI

Welcome to “Beyond Code: Ethics and Bias in AI” – a compass for navigating the moral labyrinth of artificial intelligence (AI). This intermediate course shines a light on the ethical complexities, implications, and biases that often lurk unnoticed in our AI systems and data. Understanding these aspects becomes crucial as we strive for AI applications that are not just technologically advanced but also socially responsible.

Chapter Breakdown

  • Chapter 1 – Introduction to Ethics in AI: Uncover why ethics is essential in AI. Explore real-world examples of unethical AI applications and understand the potential harm.
  • Chapter 2 – AI & Bias: Delve into the concept of bias in AI. Discover how and why AI systems can reflect and even amplify societal biases.
  • Chapter 3 – Ethical AI Design & Development: Learn strategies to build AI systems ethically, focusing on fairness, transparency, and inclusivity. Get introduced to ethical AI frameworks and guidelines.
  • Chapter 4 – The Future of Ethical AI: Reflect on the future of ethical AI considering advancements like self-learning AI and AGI. Discuss the role of regulation, public policy, and societal participation in shaping ethical AI.

On completion of this course, you’ll be equipped not just to be an AI developer, but an ethical one, contributing positively to society through responsible technology. Let’s embark on this journey of navigating the uncharted ethical dimensions of AI together. Because in an AI-driven future, ethics can’t be an afterthought.

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