Consultancy for Conducting An Outlook Study On

hace 3 semanas

Montevideo, Uruguay UNESCO A tiempo completo

OVERVIEW
**Parent Sector**: Social and Human Sciences Sector (SHS)

**Duty Station**: Montevideo

**Classification of duty station**: filter12

**Standard Duration of Assignement**: filter13

**Job Family**: Social and Human Sciences

**Type of contract**: Non Staff

**Duration of contract**: From 1 to 6 months

**Application Deadline (Midnight Paris Time)**: 15-06-2024

**UNESCO Core Values**: Commitment to the Organization, Integrity, Respect for Diversity, Professionalism

**1. Introduction and Context**:
The intersection of artificial intelligence (AI) and gender has emerged as a critical area of inquiry, reflecting the increasing integration of AI technologies into various aspects of society. As AI systems become more prevalent in areas such as healthcare, finance, education, and criminal justice, it is imperative to examine how these technologies impact gender dynamics and contribute to broader societal inequalities.

This recognition of gender as a key ethical consideration is reflected in the gender chapter of the UNESCO Recommendation on the Ethics of Artificial Intelligence. It emphasizes the importance of considering gender as a fundamental ethical dimension in the development and deployment of AI technologies and highlights the need to address gender biases, disparities, and discrimination to ensure that AI systems promote gender equality and respect for human dignity.

The gender chapter of the UNESCO Recommendation also acknowledges the intersectionality of gender with other social identities, such as race, ethnicity, sexuality, and disability, in the context of AI ethics. It recognizes that gender biases in AI can intersect with and exacerbate other forms of discrimination and inequality, necessitating an intersectional approach to address multiple dimensions of diversity and inclusion.

Understanding the complex interplay between AI and gender requires a multidisciplinary approach that draws on insights from disciplines such as computer science, social science, ethics, and law, among others. By examining the design, development, and deployment of AI systems through a gender lens, researchers can identify potential biases, disparities, and unintended consequences, as well as opportunities for innovation and intervention.

In this context, the proposed Outlook study aims to explore the current state of research and practice at the intersection of AI and gender, highlighting key trends, challenges, and opportunities. By examining the impact of AI on gender dynamics across various domains, the study seeks to inform policy, industry practices, and research agendas to promote equity and inclusivity in the AI life cycle.

Through a comprehensive review of literature and data analysis, combined with experts' interviews, this study will provide valuable insights into the ways in which AI shapes and is shaped by gender norms, stereotypes, and power dynamics. By elucidating the complex interactions between technology and society, the study aims to contribute to ongoing efforts to harness the potential of AI for the advancement of gender equality and social justice.

**2. Objectives**:
**Impact Analysis of AI on Gender Dynamics**: Evaluate how AI influences gender equity across various sectors including healthcare, finance, gig economy, education, and criminal justice. This includes assessing how AI technologies potentially reinforce or challenge existing gender norms, identities, relationships, and disparities.
**Ethical and Bias Considerations in AI**: Examine the ethical implications and consequences of gender biases embedded in AI algorithms. This objective aims to analyze the existing and potential biases that may arise during the AI life cycle and their intersectional impacts on different social groups.
**Best Practices for Inclusive AI Development**: Identify and recommend best practices and regulatory strategies to mitigate gender biases. This involves reviewing the effectiveness of current policies and advocating for inclusive practices in AI research and industry to foster diversity and gender equity.
**Policy and Actionable Recommendations**: Provide concrete, actionable recommendations for policymakers, industry leaders, and researchers to create a gender-inclusive environment throughout the AI life cycle. Propose a roadmap for implementing these strategies effectively to ensure that AI development and deployment advance gender equality and social justice.

3. Methodology

**3. Methodology**:
**Literature Review**: Conduct an extensive review of interdisciplinary literature encompassing computer science, social sciences, ethics, and law. Focus on recent advancements and key publications that address both the development of AI technologies and their societal impacts, specifically concerning gender. This review will help in identifying gaps in the current research and set the stage for further empirical investigation.
**Data Collection and Analysis**: Gather and analyze data sources, including

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