HCAIM Webinar - Privacy Preserving Machine Learning (PPML) and Explainable AI (XAI)

I'm super stoked to resume our HCAIM Webinar with my colleagues from CeADAR, a cool AI Research Institute from UCD Dublin ❤️. They are Dr. Boydell, Dr. Deghani and Inder Preet. It's tomorrow at 1 PM Amsterdam Time / 12 Noon Dublin Time! And LinkedinLive so you don't have to go anywhere 😅 You all know that AI is becoming pervasive and it is no surprise that human centred approach has spurred a renewed interest in tools and approaches that can be used to support these human focussed aspects. While we're all still obsessed with datasets and perhaps even aspects in data privacy, algorithmic bias, explainability of machine made decisions etc. these fields are more salient now than ever, particularly as #ML algorithms become increasingly complex and opaque. That is where, Privacy Preserving Machine Learning #PPML , comes into the picture, an effort by the research community to build privacy into ML algorithms. It is a loosely defined term encompassing many technologies that could be used for privacy protection, like, homomorphic encryption, secure multi-party computation, differential privacy, etc. We'll talk about tons of topics such as : (1) What is PPML and how it is different from general ML and activities and trends in companies and #AI #startups (2) Career roadmap for an HCAIM graduate to be hired by these companies and work on PPML (3) How graduates of degrees such as #HCAIM 🚀 could be important for the companies to build PPML team in their company (4) WE'll also cover #XAI - explainable AI and why is it relevant in the context of human centred AI? So, come and join me tomorrow at 1 PM Amsterdam time! See you tomorrow folks! #eufunded #hcaim #ireland #netherlands #europeancommission #hungary #italy