Podcast Series

Reference List

• Binns, R. (2023). Ethical considerations of AI: Bias, accountability, and transparency. Journal of Artificial Intelligence Research, 52(3), 105-120.
• OpenAI. (2024). How AI is transforming content creation and productivity. OpenAI Research Blog. Retrieved from https://openai.com/blog
• Smith, J. (2023). The rise of AI tools in coding: How GitHub Copilot is changing the game. TechCrunch.
• Zhang, Y. (2022). AI in education: A tool for research and learning. International Journal of AI in Education, 34(5), 45-59.
• Marcus, G. (2022). The dangers of AI in spreading misinformation. MIT Technology Review. Retrieved from https://www.technologyreview.com
• Vinuesa, R., Azizpour, H., van der Lee, R., et al. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1), 233. https://doi.org/10.1038/s41467-019-14108-2
• Crawford, K. (2021). Atlas of AI: Mapping the dark side of artificial intelligence. Yale University Press.

Resources List

1. OpenAI’s Official Blog: A comprehensive resource on AI tools, models, and updates, including ChatGPT and DALL·E. Stay up to date on new releases, case studies, and research.
   • Link: https://openai.com/blog
2. MidJourney Documentation and Community: Learn about how to use MidJourney for generating images from text descriptions. Offers guides, community discussions, and tips for refining prompts.
   • Link: https://www.midjourney.com
3. GitHub Copilot: Explore how GitHub Copilot can assist with coding tasks, from auto-completing code to providing suggestions. It’s an AI-powered assistant for developers.
   • Link: https://copilot.github.com
4. Google Bard: Understand how Bard works as a conversational AI that integrates Google’s search knowledge base, perfect for research and content creation tasks.
   • Link: https://bard.google.com
5. AI Ethics Resources by the AI Now Institute: A research institute focusing on the social implications of AI.
   • Link: https://ainowinstitute.org

Additional Readings List

1. “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy” by Cathy O’Neil (2016)
2. “AI Superpowers: China, Silicon Valley, and the New World Order” by Kai-Fu Lee (2018)
3. “Race After Technology: Abolitionist Tools for the New Jim Code” by Ruha Benjamin (2019)
4. “Artificial Intelligence: A Guide for Thinking Humans” by Melanie Mitchell (2019)
5. “Rebooting AI: Building Artificial Intelligence We Can Trust” by Gary Marcus and Ernest Davis (2019)