Build a Better Monster: Morality, Machine Learning and Mass Surveillance

Explore a thought-provoking conference talk that delves into the ethical implications of mass surveillance, machine learning, and data collection in the tech industry. Examine how commercial surveillance has become the economic foundation of the industry and its potential impact on democracy and authoritarianism. Learn about the unintended consequences of indiscriminate data collection and the challenges faced in undoing the damage caused by powerful persuasion tools. Discover potential solutions and reforms, including structural changes, regulation, and ethical considerations. Investigate the concept of federated machine learning and its potential benefits. Gain insights into the complexities of data longevity and the value of data in today's digital landscape. Reflect on the responsibilities of tech professionals in creating a less monstrous online world and seizing opportunities for positive change.

Introduction
Tech and Ethics
Mass Surveillance
Data Hunger
Facebook Instant Articles
Machine Learning
Machine Learning as Human
Alien Failure Modes
Machine Learning and Ethics
Political Engagement
Political and Commercial Advertising
Can We Fix It
Change Solutions
Memory
Security
Structural Changes
Regulation
Ban
A Legal Framework
Reforms
Break up Facebook
Code of Ethics
Tax
Socialism
Leverage
Shareholder Pressure
Employee Pressure
Complacency
The New Normal
Keep Trying
Thats Right
EU Data Privacy Rules
Mass Data Collection
Trust
Pandoras Box
Frustration
Hope
federated machine learning
federation
upsides
Dashcams
Watson
Tax Returns
Data Longevity
Data is a Value