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AI, Ethics and Society

QMUL Unveils New AI, Ethics and Society Group in Inaugural Meeting

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Queen Mary University of London (QMUL) has launched its first AI, Ethics and Society group. The group's formation marks a pivotal moment in addressing the growing intersection of artificial intelligence and ethical considerations in society.

The inaugural meeting was a mix of introductions, brainstorming sessions, and discussions on the group's future structure. It began with a warm welcome and an overview of the group's vision, highlighting the significance of interdisciplinary collaboration in understanding AI's ethical implications.

Participants from various academic and professional backgrounds shared their expertise and interests. This diversity underscored the group's commitment to a comprehensive approach to AI ethics.

The meeting's core was an interactive brainstorming session. Attendees were encouraged to share ideas on potential topics, activities, and funding strategies. The session provided a platform for members to express their visions and lay the groundwork for future collaborations.

Following the brainstorming, there was a focused discussion on the proposed structure and roles within the group. The aim was to create an efficient and representative framework, with roles like a steering committee and various coordinators discussed.

The meeting concluded with a summary of the discussions and an outline of the next steps. These included forming working groups, drafting a mission statement, and scheduling follow-up meetings. Attendees were invited to provide feedback, ensuring that the group's future direction aligns with its members' aspirations and the broader community's needs.

The Ethics and AI group at QMUL is poised to play a crucial role in shaping the conversation around AI and ethics. Its establishment reflects a growing awareness of the need to balance technological advancement with ethical responsibility, making it a significant development in the AI community. The group's efforts promise to contribute significantly to the responsible development and application of AI technologies.

 

 

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