Session
Comilla University
Jannatul Ferdous, Comilla University, Bangladesh, Asia-Pacific Group Manish Jaiswal, Indian Aerospace Defence News(IADN), Asia-Pacific Group Monojit Das, Independent Analyst, Asia-Pacific Group Miroslav Plundrich, University of West Bohemia, Western Europe and other Group Millenium Niongoze, Women youth Leader, Tanzania, African Group Dr. Khouzeifi doud, Cyber Security Resecher, African Group
Jannatul Ferdous, Comilla University, Bangladesh, Asia-Pacific Group Manish Jaiswal, Indian Aerospace Defence News(IADN), Asia-Pacific Group Monojit Das, Independent Analyst, Asia-Pacific Group Miroslav Plundrich, University of West Bohemia, Western Europe and other Group Millenium Niongoze, Women youth Leader, Tanzania, African Group Dr. Khouzeifi doud, Cyber Security Resecher, African Group
Organization's Website
Speakers
Jannatul Ferdous, Comilla University, Bangladesh, Asia-Pacific Group
Manish Jaiswal, Indian Aerospace Defence News(IADN), Asia-Pacific Group
Monojit Das, Independent Analyst, Asia-Pacific Group
Miroslav Plundrich, University of West Bohemia, Western Europe and other Group
Millenium Niongoze, Women youth Leader, Tanzania, African Group
Dr. Khouzeifi doud, Cyber Security Resecher, African Group
Onsite Moderator
Manish Jaiswal
Rapporteur
Miroslav Plundrich
SDGs
5.1
5.5
Targets: The session strongly aligns with SDG 5.1 (“End all forms of discrimination against all women and girls everywhere”) and SDG 5.5 (“Ensure women’s full participation and equal opportunities for leadership at all levels of decision-making in political, economic, and public life”). SDG 5.1: Bias in AI can perpetuate and even exacerbate existing gender and social inequalities. AI models, if not properly monitored and adjusted, can generate biased outputs that discriminate against women and marginalized groups. By addressing the prevention and detection of biased AI-generated content, this session seeks to ensure that AI technologies do not reinforce gender-based discrimination and that they are designed to promote equality. SDG 5.5: Ensuring that AI systems are free from bias is crucial to empowering women and marginalized groups to have equal access to technology. This session will focus on how women and other underrepresented groups can participate equally in the development of AI technologies and have a voice in the decision-making process regarding AI ethics and regulation. The session will discuss the importance of creating inclusive AI systems that do not perpetuate harmful stereotypes, ensuring equal opportunities for all groups, and enabling women and minorities to fully participate in digital transformation.
5.5
Targets: The session strongly aligns with SDG 5.1 (“End all forms of discrimination against all women and girls everywhere”) and SDG 5.5 (“Ensure women’s full participation and equal opportunities for leadership at all levels of decision-making in political, economic, and public life”). SDG 5.1: Bias in AI can perpetuate and even exacerbate existing gender and social inequalities. AI models, if not properly monitored and adjusted, can generate biased outputs that discriminate against women and marginalized groups. By addressing the prevention and detection of biased AI-generated content, this session seeks to ensure that AI technologies do not reinforce gender-based discrimination and that they are designed to promote equality. SDG 5.5: Ensuring that AI systems are free from bias is crucial to empowering women and marginalized groups to have equal access to technology. This session will focus on how women and other underrepresented groups can participate equally in the development of AI technologies and have a voice in the decision-making process regarding AI ethics and regulation. The session will discuss the importance of creating inclusive AI systems that do not perpetuate harmful stereotypes, ensuring equal opportunities for all groups, and enabling women and minorities to fully participate in digital transformation.
Format
The session will be structured as a panel discussion with speakers from various sectors: AI experts, researchers, ethicists, representatives from regulatory bodies, and advocates for gender equality and human rights in technology.
Introduction and Keynote: The session will begin with a short keynote speech outlining the current state of AI bias, its potential risks, and the need for addressing this issue.
Panel Discussion: Panelists will share their insights on the causes and consequences of biased AI-generated information and offer solutions for mitigation. The discussion will focus on the role of data, algorithms, and regulatory frameworks in ensuring fairness in AI systems.
Interactive Q&A: The panel will be followed by an interactive Q&A session where both onsite and online participants can ask questions and share ideas.
Breakout Discussions: Smaller breakout discussions will allow participants to engage in focused dialogues on specific aspects of the topic (e.g., AI bias in healthcare, media, and politics), with facilitators ensuring that ideas and solutions are shared with the larger group at the end.
Duration (minutes)
30
Description
As Artificial Intelligence (AI) continues to transform how we generate and consume information, concerns regarding biased AI-generated content have emerged as a critical challenge. This session will delve into the risks of bias in AI-generated information and explore how such biases can be detected, prevented, and mitigated.
The discussion will cover the various sources of bias, including training data, algorithms, and the inherent limitations of machine learning models. The session will explore the consequences of biased AI-generated content, which can lead to misinformation, discrimination, and erosion of trust in digital platforms. It will also examine the role of regulators, technology developers, and civil society in developing strategies to detect and mitigate these biases.
With an emphasis on practical solutions, the session will present emerging tools and frameworks designed to ensure transparency, fairness, and accountability in AI content generation. Stakeholders will discuss the role of ethics in AI development and the need for policies that ensure AI operates in a way that upholds human rights and avoids reinforcing harmful stereotypes.
This session aligns with IGF 2025’s issue areas related to Artificial Intelligence and Ethics, Trust and Security, and Human Rights.
Real-time Video Streaming: The session will be streamed live, allowing both onsite and online participants to view the panel and Q&A sessions simultaneously. This will ensure equal access to information for all attendees. Moderator Integration: A dedicated moderator will oversee the interactions between onsite and online participants. They will facilitate online Q&A, relay online comments to the panel, and ensure that all participants have the opportunity to engage. Hybrid Q&A: Questions from both onsite and online participants will be collected via an online platform and addressed during the Q&A session. This ensures that both groups can participate equally. High-Quality Audio/Visual Setup: cameras will capture different angles of the panelists and audience, ensuring that the online participants have a full view of the session. Audio will be clear and managed to avoid delays or disruptions, especially during the Q&A. Live Polling and Surveys: Interactive elements such as live polls and surveys will be used to gauge participant opinions, insights, and feedback during the session. These tools will be accessible to both onsite and online participants, fostering engagement throughout the session. Slido will be used for live Q&A, polls, and gathering feedback in real-time. This platform will allow online and onsite attendees to submit questions and comments, increasing interaction and engagement. A dedicated google drive link will be available to participants, providing them with access to session information, speaker bios, and a discussion forum to network and exchange ideas. Social media platforms and specific event hashtags will be encouraged to increase visibility and extend the conversation beyond the session, enabling participants to continue discussing AI bias and solutions.
Real-time Video Streaming: The session will be streamed live, allowing both onsite and online participants to view the panel and Q&A sessions simultaneously. This will ensure equal access to information for all attendees. Moderator Integration: A dedicated moderator will oversee the interactions between onsite and online participants. They will facilitate online Q&A, relay online comments to the panel, and ensure that all participants have the opportunity to engage. Hybrid Q&A: Questions from both onsite and online participants will be collected via an online platform and addressed during the Q&A session. This ensures that both groups can participate equally. High-Quality Audio/Visual Setup: cameras will capture different angles of the panelists and audience, ensuring that the online participants have a full view of the session. Audio will be clear and managed to avoid delays or disruptions, especially during the Q&A. Live Polling and Surveys: Interactive elements such as live polls and surveys will be used to gauge participant opinions, insights, and feedback during the session. These tools will be accessible to both onsite and online participants, fostering engagement throughout the session. Slido will be used for live Q&A, polls, and gathering feedback in real-time. This platform will allow online and onsite attendees to submit questions and comments, increasing interaction and engagement. A dedicated google drive link will be available to participants, providing them with access to session information, speaker bios, and a discussion forum to network and exchange ideas. Social media platforms and specific event hashtags will be encouraged to increase visibility and extend the conversation beyond the session, enabling participants to continue discussing AI bias and solutions.