Algorithms
A kind of algorithms that predicts crime
Predictive policing algorithms
Systematic errors in algorithms that create unfair outcomes
Bias
Why is law slow to react to tech advances?
Bureaucracy and institutional mass
This legal document grants its holder exclusive rights to an invention or process for a limited period of time, typically 20 years from the filing date.
Patent
In machine learning, this crucial component consists of examples used to teach an algorithm how to perform a task, such as recognizing patterns or making predictions.
Training data
This controversial law enforcement strategy uses data analysis and algorithms to forecast where crime is likely to occur, aiming to prevent criminal activity before it happens.
Predictive Policing Algorithms
It defines the ethical and legal boundaries of algorithms
Regulations
Why lawmakers and engineers can have a disconnect when understanding techology
Excessive technical language
How can engagement-based algorithms negatively impact social media content?
Increase divisiveness to gain attention.
A concern with using historical crime data to train algorithms
Perpetuate existing biases
A challenge in the ethical application of facial recognition tech
Privacy and bias.
A problem for engineers when working with lawyers
Communicating
What does transparency of algorithms and training sets do for developers?
Fosters accountability and ethical use.
What kind of training data is needed to prevent bias
Diverse
A term that means a law only changes after technological issues arise
Reactive
A similarities between lawyers and engineers raised in Tuesday's lecture
Problem solving
Screens for potential child protective cases
Allegheny Family Screening Tool
An approach to mitigate existing institutional biases in algorithms
Prohibiting the use of historical crime data.
The primary ethical concern with algorithms in law enforcement
Reinforcing systemic biases
This term refers to technological advancements or innovations that can be used for both beneficial and harmful purposes, posing ethical dilemmas for society.
Dual-use