In this episode of AI And You, David discusses the importance of explainability in recommender systems, focusing on choiceMaster, the system created by David himself. He highlights how traditional recommenders lack transparency and often base recommendations on user history rather than individual preferences. choiceMaster, on the other hand, prioritises user input and provides detailed explanations for its recommendations, enhancing user trust and confidence in decision-making. He also touches on the role of generative AI in search engines and the educational aspect of recommender systems in guiding users towards making informed choices.
For further information;
https://www.choicemaster.org/
david@choicemaster.org

Steve Jobs once famously said, "People don't know what they want until you show it to them."

In today's digital age, we often face a persistent challenge: the overwhelming abundance of information.

Simply too much choice.

The concept of Recommendation Systems, also known as Recommender Systems or Recommender Engines, has seamlessly integrated itself into our daily routines, becoming indispensable tools that help us discover relevant content, products, and services tailored to our unique interests

The primary focus of recommender systems is to deliver recommendations through the analysis of a users data, encompassing both explicit and inferred interests. Recommender systems have proven to be highly versatile and useful across a range of different contexts.

https://www.choicemaster.org/
david@choicemaster.org

In this new episode of "The AI And You" podcast with David F George, (recorded on 17-10-2023), he discusses threats posed by generative AI disinformation. He explains the difference between misinformation (accidental false information) and disinformation (deliberately deceptive information). David gives us some examples of how generative AI can be misused to create fake but convincing images, videos, voices, reviews etc to spread disinformation. This is discussed in the context of politics, business/marketing, and online retail. He looks at the need to fact-check AI-generated content and not take it at face value and, suggest governments may need to legislate and regulate to curb this threat of disinformation.