In this episode, I dive deep into one of the most pressing topics in tech today: AI ethics. I try to explore how well-meaning developers can unintentionally create AI systems that harm society. From bias in AI models to privacy concerns, accountability challenges, and even the environmental impact of AI, this episode is packed with insights every developer needs to hear.

By the end of the episode, you’ll understand:

• What AI ethics entails and why it matters.
• Key ethical challenges developers face when building AI systems.
• Practical tools and frameworks to make AI fairer, more transparent, and responsible.
• How developers can proactively address bias, privacy, and sustainability in their projects.

I also provide actionable tips and resources to help you embed ethics into your AI development process, ensuring that the systems you build serve as tools for progress—not harm.

Interesting Links and Resources

• Tools for AI Transparency: LIME | SHAP
• Books:
  • Weapons of Math Destruction by Cathy O’Neil
  • Race After Technology by Ruha Benjamin
• Online Courses on AI Ethics: fast.ai | Stanford Online
• AI Principles: Google AI Principles | Microsoft Responsible AI Standards

Get in Touch!

• X (Twitter): @deleteman123
• YouTube: The Scripting Den
• Newsletter: fernandodoglio.substack.com

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