Ethics Review of Machine Learning in Children’s Social Care - Ellie Ott & David Leslie

Explore the ethical implications of using machine learning in children's social care systems through this insightful presentation. Delve into the research findings and recommendations from a project commissioned by What Works for Children's Social Care. Discover the main ethical considerations, potential risks, and practical principles for implementing machine learning in this sensitive field. Learn about the importance of institutionalized consent-based practices, data quality, and understanding data usage. Gain valuable insights on how to advance outcomes for families and children while maintaining ethical standards. Connect with the ideas presented on bridging the gap between data scientists and social care professionals. Examine the ethical criteria proposed for responsible implementation of machine learning in children's social care.

Introduction
What does ethical machine learning require
Risks of machine learning
Practical principles
Ethical criteria
Connecting data scientists
Institutionalized consentbased practices
Understand the use of data
Advance outcomes
Data quality