The RSS is a professional body for all statisticians and data analysts wherever they may live.
My RSS
My RSS
Membership
Join now
Member benefits
Fellow
Professional membership
Corporate membership
e-Student
Meet our members
FAQs
Fees
Professional Development
Data Analyst
Graduate Statistician
Chartered Statistician
Data Science Professional
Advanced Data Science Professional
Professional Statistician's Network
Professional Register
Mentoring scheme
Accreditation scheme
Sections and local groups
Sections
Local groups
Special interest groups
Volunteering
Maths 4 Girls
Statisticians for Society
Volunteer with the African Institute for Mathematical Sciences (AIMS)
Volunteer profiles
Find a volunteering opportunity
Volunteer as a charity trustee
Other pro bono opportunities
Guidelines for RSS volunteers
Celebrating statisticians
RSS honours
Excellence awards
External honours panel
Statistics Are Vital
News and Publications
News
Section and group news
Member callouts
Press and media
Publications
Journals
Significance
Real World Data Science
Statistics law guides
Our research
Change in publisher in 2023
Training and events
Training
Public courses
Online courses
In-company courses
Lean & 6 sigma
CPD
Stats resources
Conference 2025
Conference streams
Invited topic sessions
Conference 2024
Programme and speakers
Past conferences
Events
Events calendar
Video and audio recordings
President's Address
Excellence Awards
RSS Honours
Discussion paper meetings
Named lectures
Webinars
Policy and campaigns
Policy
Asks of the new government
Our work on public statistics
Our Data Manifesto
Statistics Under Pressure
Upcoming policy consultations
Climate change explainers
Our work on Covid-19
Policy groups
AI Task Force
Campaigns Advisory Group
Academic Affairs Advisory Group
Covid-19 Task Force
Climate Change and Net Zero Task Force
Data Science Task Force
Education Policy Advisory Group
National Statistics Advisory Group
Statistics Under Pressure Steering Group
Working Group on Diagnostic Tests
Search policy documents
Covid-19
Data science (strategy, ethics and skills)
Education
Government statistics
Higher education, research and innovation
Stats for the public good
Jobs and careers
Jobs board
Advertise with us
Career development
Opportunities at the RSS
Resources
Resources for journalists
Online courses for journalists
How to write numbers
Teaching resources
Hands-on statistics
e-Teacher membership
Statistical explainers
Advice when looking at stats
Climate change explainers
Covid-19 FAQs
Find an expert
Statistical ambassadors
Professional register
Consultants Directory
Audio and video
Sign in
Join
Introducing the RSS
A short, two minute video introduction
Watch our video
Who we are and what we do
Our history and where to find us
View our 'About' section
Consultants Directory
Find a professionally qualified statistical consultant
Find a consultant
President and staff
Meet our personnel
Meet our president and staff
About RSS
Home
Events
Events 2024
Sections
Scaling AI in public services followed by Christmas drinks
Scaling AI in public services followed by Christmas drinks
Date:
Thursday 05 December 2024, 6.00PM - 7.30PM
Location:
In person / Venue TBC, London
In person / Venue TBC, London
Section Group Meeting
Book now
Share this event
Full event information
Organiser
Event costs
This December the Data Science and AI section are delighted to host Joe Hill, author of the fantastic recent report "Getting the machine learning: Scaling AI in public services" (
https://reform.uk/wp-content/uploads/2024/09/Getting-the-machine-learning.pdf
). He will be presenting his analysis on :
How AI should be funded
Who should build it
How we evaluate it
What governance is required
What leadership is needed
This will be followed by a Panel Q&A with Joe Hill, Dr Kameswarie Nunna (Director of AI PA consulting) and Will Browne (CTO, Emrys Health) on the challenges of developing AI in the public sector and the role of professional services in supporting these ambitions.
Following the talk we will be heading for drinks, networking and crackers at 7.15pm round the corner.
Will Browne
for Data Science & AI Section
Fellows - free to attend
Non-Fellows £10
Book now