The Algorithmic Leviathan - Arbitrariness, Unfairness, and Opportunity in Algorithmic Decision Making

Explore a thought-provoking conference talk that delves into the concept of the "Algorithmic Leviathan" and its implications for automated decision-making systems. Examine the potential for arbitrariness and unfairness in algorithmic processes, particularly in hiring contexts. Investigate the definition and ethical concerns surrounding arbitrariness, including its impact on individual autonomy and the systematic nature of algorithmic decision-making. Consider the proposed technical solution of random classifier ensembles and their potential value in addressing these issues. Gain insights into the complex interplay between standardization, fairness, and opportunity in the age of algorithmic decision-making.

Intro
IS AUTOMATED DECISION-MAKING AN ALGORITHMIC LEVIATHAN
A HIRING MANAGER'S NIGHTMARE
STANDARDIZATION
WHAT IS ARBITRARINESS EXACTLY AND IS IT PROBLEMATICT
WHAT IS "ARBITRARINESS"?
A GOOD REASON: THREE TIERS OF DEMANDINGNESS
ARBITRARINESS AT SCALE
THRESHOLD HARM TO AUTONOMY
SYSTEMATICITY IS THE MORAL PROBLEM, NOT ARBITRARINESS
WHO IS THE ALGORITHMIC JOB?
TECHNICAL SOLUTION? RANDOM CLASSIFIER ENSEMBLE
VALUE OF RANDOM CLASSIFIER ENSEMBLES