Dónal and Ciarán discuss some of the concerns about misinformation and disinformation that have emerged with the rise of impressively capable GenAI models, and provide some detail on what their effects might be. They discuss the calls for regulation and how this has begun to take shape in the EU, Ireland, and elsewhere.

Topics in this episode

• What are the implications for misinformation inherent in the current and emerging GenAI models?
• Why have there been calls to pause development, and why did this not lead anywhere?
• How have the various language, image, audio, and video models already been used for problematic content?
• Is social media ready for the onslaught to come?
• Can we regulate AI to combat this and how is that beginning?
• Why should we be critical of offers to self-regulate from the tech companies?
• What's the EU AI Act?
• And why is Ireland using the word "doomsayers" in policy documents about AI?

Resources & Links

• The EU's AI Act: https://artificialintelligenceact.eu/
• Some of ISD's work on AI & Misinformation: https://www.isdglobal.org/digital_dispatches/disconnected-from-reality-american-voters-grapple-with-ai-and-flawed-osint-strategies/
• More on the Slovak Deepfake case discussed by Ciarán: https://misinforeview.hks.harvard.edu/article/beyond-the-deepfake-hype-ai-democracy-and-the-slovak-case/
• GenAI & ISIS: https://gnet-research.org/2024/02/05/ai-caliphate-pro-islamic-state-propaganda-and-generative-ai/?
• The Irish Government's "Friend or Foe" Report: https://www.gov.ie/en/publication/6538e-artificial-intelligence-friend-or-foe/

You can get in touch with us - hello@enoughaboutai.com - where we'd love to hear your questions, comments or suggestions!

Dónal and Ciarán discuss the vast ocean of data that Large Language Models (LLMs) depend on for their training, covering some of the issues of access to that data and the biases reflected within it. This episode should help you better understand some aspects of the AI training process.

Topics in this episode

• What data is being used to train models like ChatGPT?
• What are "supervised" or "unsupervised" machine learning methods?
• How have the owners of copyright data, like news organisations, reacted to the use of their text?
• What issues of bias arise in training models based on existing text?
• What happens when AI models train on AI output?
• How do we morally and ethically align the actions of AI models, as part of their training?

You can get in touch with us - hello@enoughaboutai.com - where we'd love to hear your questions, comments or suggestions!

Dónal and Ciarán talk you through everything that's emerged since capable Large Language Models entered the chat a few years ago - up to late 2024, at least! This episode covers the companies, models, and tools that have become central to contemporary GenAI, and will broaden your understanding of where things are beyond ChatGPT.

Topics in this episode

• What are Transformer models and why are these significant?
• How did OpenAI come to dominate this space?
• Who are the other organisations to know and what other GenAI models should you be aware of?

You can get in touch with us - hello@enoughaboutai.com - where we'd love to hear your questions, comments or suggestions!