Janis Wong

Janis Wong

Data & Technology Law Policy Advisor

The Law Society

Hello! I’m Janis and I’m passionate about making data protection, AI, ethics, and governance work for you by exploring legal, socio-technical, and policy solutions. Find out more about my work below and on my About page.

I hold an interdisciplinary PhD in Computer Science on co-creating data protection solutions through a commons, which was awarded the Stefano Rodotà Award by the Council of Europe for best data protection thesis.

I am always looking for new opportunities to help individuals and organisations make responsible and ethical data governance a reality, so please do get in touch!

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Artificial Intelligence Strategy

Artificial Intelligence Strategy

The Law Society’s first AI Strategy for the legal profession

Generative AI Essentials Guide

Generative AI Essentials Guide

An overview of the opportunites and risks of generative AI for the legal profession

AI Ethics and Governance in Practice

AI Ethics and Governance in Practice

Workbooks on applying AI ethics and safety for the public sector

Lawtech Consultation Responses

Lawtech Consultation Responses

The Law Society’s consultation responses on technology

Exploring Children's Rights and AI

Exploring Children’s Rights and AI

Involving children in the development and implementation of AI with Children’s Parliament and the Scottish AI Alliance

Data Ethics Playbook

Data Ethics Playbook

Practical data ethics guide for the real estate sector by The RED Foundation

The Alan Turing Institute

The Alan Turing Institute

My research profile at The Alan Turing Institute

Media

Media

My public academic and non-academic media engagements

Publications

Publications

My publications (Google Scholar profile)

Talks

Talks

My academic, research, and public talks and events

Volunteering

Volunteering

My volunteering and public service activities

Data Governance for Online Learning

Data Governance for Online Learning

Open Data Institute Research Fellow report on the data governance considerations when working with online learning data