Correcting for Bias in Automated Decision Making: How to Better Solve for Disparities in Algorithmic Outputs

Arnav Hak, Grade 10 Introduction          In today’s digitalized world, people are constantly encountering automated decisions made by ADM (Automated Decision-Making) systems. ADM systems refer to technical systems that aim to aid or replace human decision-making in society by deriving conclusions based on given datasets (1). These systems are increasingly becoming more common within local, state, and federal agencies, yet their use is somewhat rare in … Continue reading Correcting for Bias in Automated Decision Making: How to Better Solve for Disparities in Algorithmic Outputs

Mitigating Automated Discrimination

Dylan McCreesh, Grade 12 Humans are biased creatures. That’s a simple, historically irrefutable, unavoidable element of our nature. In making decisions, humankind is notoriously hindered by a variety of innate biases. Hard-baked into our psychology there are heuristic shortcuts, self-preference biases, and situationally homophilous or heterophilous tendencies which all alter our judgement and limit our capacity for unbiased decision-making. Moreover, for humans, decision-making is a … Continue reading Mitigating Automated Discrimination

Predictive Policing: Important Safeguards to Consider

Trevor Kim, Grade 11 The use of artificial intelligence (AI) has increasingly become critical to modern society. AI algorithms are frequently used to automate industrial processes, to streamline supply chains and to even set our oven timers. Intrigued by the efficacy of this technology, law enforcement agencies have invested heavily in developing AI to assist with policing. One emerging use has been in the field … Continue reading Predictive Policing: Important Safeguards to Consider

Figure 1: DeepStack rises above the rest for Artificial Intelligence algorithms when it comes to going against professional poker players in Texas Holdem.

Algorithm Defeats Pro Poker Players

Meghan Bialt-DeCelie – ’19 Artificial Intelligence (AI) has improved significantly in recent years in games involving perfect information. This means all players are aware of all the elements in the current state of a game. The next milestone for AI is creating an algorithm that can defeat humans at games with imperfect information, a game where players can be uncertain of certain game elements. An … Continue reading Algorithm Defeats Pro Poker Players

Computer Simulation Offers Alternative Ways to Stop Disease in Schools

by Lillian Pao (’18) Pandemics and seasonal infectious diseases, such as the influenza virus, have drastic negative health and economic consequences. One particular intervention strategy, school closures, can result in significant economic impacts because parents or guardians have to temporarily leave the workforce in order to take care of their child. School closures because of an epidemic outbreak normally last for one to two weeks, … Continue reading Computer Simulation Offers Alternative Ways to Stop Disease in Schools