AI Signals #27: Lessons from Building a Real-World Adverse Media Pipeline

​Agenda

​06:30pm - Doors open, food and drink served

​07:00pm - Welcome

​07:05pm - Adam Hill, AI Engineer & Data Scientist, "Not Another LLM Talk...Practical Lessons from Building a Real-World Adverse Media Pipeline

​07:45pm - Break

​08:00pm - John Sandall, CEO/CTO, "How To Measure And Mitigate Unfair Bias in Machine Learning Models"

​​08:40pm - Lightning Talk: Kaustubh Ramekar, "Seeing the Unseen : AI Systems that Act Before Disaster Strikes"

​09:00pm - Wrap up, drinks at Angel London

Please note you will be unable to enter the venue before 6.30pm.

​RSVPs will close 24 hours before the event, you may be unable to register after this time but you can still watch online.

​If you can't join us in person you can watch remotely via our YouTube channel.

​Our hosts may require that we provide a list of all attendees, please ensure that you register with a name that matches your government issued ID or bank card: if you do not we cannot guarantee you entry to the building.

​Please RSVP for the event well in advance if you plan to attend in person and unRSVP if you can no longer attend as limited spaces are available.