Justicia

Justice in Artificial Intelligence

Introduction to Justice in AI

• The video introduces the topic of justice within the context of artificial intelligence (AI), emphasizing its relevance to fundamental principles and values.

• The objective is to evaluate how justice in AI aims to balance social impacts, rectify errors, and promote ethically responsible decisions.

Beyond Impartiality: The Role of Justice

• Justice in AI transcends mere impartiality; it involves repairing harm and redistributing technological benefits.

• AI should work towards correcting inequalities rather than reinforcing them, raising questions about addressing human injustices reproduced by technology.

Case Study: Predictive Policing

• Predictive policing systems emerged in the US and UK as tools for anticipating crimes through historical data analysis.

• However, these systems often reflect discriminatory police practices, leading to increased surveillance in poorer neighborhoods with high populations of African American and Latino residents.

Legislative Response and Algorithmic Justice

• In 2020, Santa Cruz, California prohibited predictive policing systems due to evidence of bias, sparking a debate on algorithmic justice and the need for reparative measures.

• Justice in AI transforms ethical considerations into actionable steps that go beyond merely avoiding harm; it requires active efforts to address negative impacts on vulnerable communities.

Institutional Responsibility and Global Equity

• Algorithmic justice necessitates institutional accountability through model audits, effect disclosures, and mechanisms for correction and compensation.

• A broader vision of justice seeks equitable distribution of technological benefits globally rather than concentrating power among technologically advanced nations or corporations.