Addressing Algorithmic Fairness in the Era of Decision-Making Technology
Introduction
As algorithmic decision-making increasingly pervades our lives, it brings to the forefront pressing concerns regarding equality and equity. This timely dialogue delves into algorithmic fairness and technology through the lens of Professor Minow’s forthcoming article, which explores Justice Abella’s groundbreaking equality jurisprudence. The discourse examines Justice Abella’s transformative contributions to defining equality in Canada and how her insights can guide our approach to algorithmic fairness in the digital age.
Exploring the Tensions and Limitations of Legal Frameworks
The growing reliance on machine learning and algorithmic predictive tools raises concerns about embedded biases in data and disparate outcomes. These challenges highlight unresolved tensions and limitations in existing legal frameworks governing equality and non-discrimination in the United States, Canada, and the European Union.
Formal vs. Substantive Approaches to Equality
The discussion delves into the inherent tension between formal and substantive approaches to equality. Formal approaches emphasize treating individuals equally under the law, while substantive approaches seek to address underlying inequalities and promote equal opportunities for all. The speakers unpack the renewed challenges we face today as discrimination manifests through algorithmic systems and propose effective strategies for confronting algorithmic harms.
Conversation with Professor Minow and Justice Abella
Justice Rosalie Silberman Abella
– Appointed to the Supreme Court of Canada in 2004, Justice Abella made history as the first Jewish woman to serve on the Court.
– Throughout her esteemed career, she has been elected to prestigious organizations including the Royal Society of Canada, American Academy of Arts and Sciences, and American Philosophical Society.
– In 2020, she was honored with the Knight Commander’s Cross of the Order of Merit by the President of Germany.
– Justice Abella’s educational background includes a B.A. and LL.B. from the University of Toronto, complemented by classical piano training from the Royal Conservatory of Music.
– Notable milestones in her career include being the first pregnant person appointed to the judiciary in Canada, serving on the Ontario Family Court and the Ontario Court of Appeal before her appointment to the Supreme Court.
Professor Martha Minow
– Professor Minow holds the esteemed position of the 300th Anniversary University Professor of Law at Harvard Law School.
– Her extensive teaching experience at Harvard Law School encompasses a wide range of courses, reflecting her diverse expertise.
– Renowned for her scholarship in human rights, advocacy for marginalized groups, and legal issues related to artificial intelligence (AI), Professor Minow’s contributions are highly regarded.
– She served as the Dean of Harvard Law School from 2009 to 2017, demonstrating her leadership and dedication to legal education.
– Currently, Professor Minow holds leadership positions in various organizations, including the MacArthur Foundation, Campaign Legal Center, Carnegie Corporation, GBH, and MIT’s Schwartzman College of Computing, underscoring her commitment to advancing social justice and technological innovation.
– Professor Minow’s educational background includes undergraduate studies at the University of Michigan, an M.Ed. from Harvard, and a J.D. from Yale, attesting to her rigorous academic pursuits.
Agenda
3:00 pm – 3:55 pm: Conversation with Professor Minow and Justice Abella
– Engage in a thought-provoking discussion on Justice Abella’s equality jurisprudence and its relevance to algorithmic fairness.
– Gain insights from both Professor Minow and Justice Abella on addressing the challenges posed by algorithmic decision-making.
– Explore innovative paths forward to promote fairness and equity in the age of technology, ensuring that algorithmic systems align with societal values of justice and equality.
5-minute Q&A Period
– Participate in an interactive Q&A session, where attendees can pose questions and engage directly with the esteemed speakers.
– This facilitated Q&A session encourages lively dialogue and provides an opportunity for attendees to seek clarification or share their perspectives on algorithmic fairness.
4:00 pm – 5:00 pm: Reception & Meet and Greet
– Network with fellow attendees, speakers, and experts in the field of algorithmic fairness during a relaxed reception.
– Engage in stimulating conversations, exchange ideas, and foster connections with like-minded individuals committed to promoting fairness and equity in the digital age.
– Enjoy refreshments and light snacks while continuing the dialogue on algorithmic fairness in a convivial setting.
Call to Action
Join us for an enlightening and thought-provoking discussion on algorithmic fairness in the era of decision-making technology. Register now to secure your spot and be part of this transformative conversation. Together, we can shape a future where algorithmic systems uphold the principles of equality, justice, and fairness for all.