Bruno Lepri|Núria Oliver|Emmanuel Letouzé|Alex Pentland|Patrick Vinck
Fair, Transparent, and Accountable Algorithmic Decision-making Processes
Fondazione Bruno Kessler|Vodafone (United Kingdom)|Alliance Data (United States)|Alliance Data (United States)|Alliance Data (United States)
combination increased availability large amounts finegrained human behavioral data advances machine learning presiding growing reliance algorithms address complex societal problems algorithmic decisionmaking processes might lead objective thus potentially fairer decisions made humans may influenced greed prejudice fatigue hunger however algorithmic decisionmaking criticized potential enhance discrimination information power asymmetry opacity paper provide overview available technical solutions enhance fairness accountability transparency algorithmic decisionmaking also highlight criticality urgency engage multidisciplinary teams researchers practitioners policymakers citizens codevelop deploy evaluate realworld algorithmic decisionmaking processes designed maximize fairness transparency describe open algortihms opal project step towards realizing vision world data algorithms used lenses levers support democracy development