Artificial Intelligence and Gender Equality: Women4Ethical AI

These flashcards cover key vocabulary and concepts from the lecture on Women4Ethical AI and gender equality in artificial intelligence.

Women4Ethical AI

A collaborative platform launched by UNESCO to advance gender equality in AI design and deployment.

UNESCO

The United Nations Educational, Scientific and Cultural Organization, responsible for coordinating international cooperation in education, science, and culture.

Gender Equality

The state of equal access to rights and opportunities regardless of gender, aimed at achieving fairness in treatment and participation.

Biased Data

Data that reflects prejudice or favoritism, often leading to discrimination in AI outputs and decision-making processes.

Ethical AI

Artificial intelligence that adheres to ethical principles of justice, fairness, and non-discrimination.

AI Life Cycle

The various stages involved in the development and deployment of artificial intelligence, from research to implementation.

Technical Roles

Positions within technology sectors that require specialized knowledge in areas like machine learning, programming, and data analysis.

Discriminatory Outcomes

Results of AI systems that lead to unfair treatment or decisions affecting individuals based on biased programming or data.

ICT Patent

A legal right granted for inventions specifically related to Information and Communication Technology.

Global Ethical Framework

A set of guidelines established by UNESCO to ensure AI development aligns with ethical standards globally.