We are in a world where our every move and thought is documented and databases.

With that data, future search agents and AI will be able to deliver us deliver hyper-personalised results which are based on everything we have done in the past. It could even use this information to act on our behalf.

Joining us to discuss this future are two people who are living it now. Dr Cathal Guerin is an expert on personal data. For 15 years he has logged his life through wearing a personal camera and other data collection points. He is joined by Professor Gareth Jones who explores way to enhance search engines through conversational interactions and various media formats such as speech, video, and music.

TOPICS WE DISCUSSED INCLUDE

02:14 Their approach to life logging
03:14 What it’s like to wear a camera 24/7
07:54 Limitations of speech recognition
13:15 The problem of protecting privacy
19:05 Thoughts on Chat GPT & AI
23:46 AI Search agents and your hyper personal life log
27:56 How do we make the future safe?

GUEST DETAILS
Dr Cathal Gurrin is an Associate Professor at the DCU School of Computing and a co-investigator at the Insight Centre for Data Analytics and the Adapt Centre. He leads a group of researchers dedicated to developing assistive technologies using wearable sensors and data analytics. The highly interdisciplinary approach advanced by his group, "lifelogging", integrates computer science, cognitive science and data-driven healthcare analytics to generate next-generation digital records of the individual. Cathal is also co-author of ‘Lifelogging, Personal Big Data’, 2014.

https://www.linkedin.com/in/cgurrin/
@cathal on Twitter

Professor Gareth Jones is a Principal Investigator with the ADAPT Centre at DCU. His research focuses on topics related to information retrieval and search technologies. His work encompasses a broad range of areas including speech and multimedia search, multilingual search, personalisation in search, search for personal information archives, legal and patent search, and more generally information retrieval models and evaluation. He is currently collaborating with Spotify on a benchmark evaluation task on Podcast Search at TREC.

https://www.linkedin.com/in/gareth-j-f-jones-8337a3ab/