The success of the event was not only measured by the strong participation, but also by the impact it had on the participants.
Imperial College London’s Department of Computer Science took center stage at the recent Imperial Lates event, captivating a record audience with groundbreaking AI innovations and interactive exhibitions. With an impressive attendance of 1,048 people, the event marked a significant achievement, being the best attended of this Lates season and demonstrating the department’s commitment to engaging with the wider community beyond academia.
Highlights of the evening included “AI Disco”, led by Professor Julie McCann and Dr. Michael Breza, where attendees grooved to the beats of AI-generated dance moves, blending the worlds of technology and entertainment in a vibrant celebration. Professor Francesca Toni introduces “CLArg” (Computational Logic and Argumentation Group), engaging the audience with “Arguing with AI” and delivering an insightful presentation titled “AI: Explain Yourself!” These initiatives provided a platform to discuss the potential and limitations of AI in decision-making processes and the importance of transparency in AI operations.
Gabriel Freedman, first-year STAI CDT doctoral student, led an enlightening Q&A session titled “Does CHATGPT Know What It’s Talking About?” on Large Linguistic Models (LLM), responding to public curiosity about the operation and implications of these advanced AI systems. The session highlighted the department’s leading role in exploring the frontiers of AI research.
A highlight of the event was the AI Makeup activity, orchestrated by STAI CDT 2nd year PhD student Maria Stoica, for Women and Non-Binary Individuals in Computer Science (WNBiC). This unique exhibition combined creativity and technology, raising participants’ awareness of facial recognition algorithms and ethical considerations. Participants experimented with different makeup designs to challenge facial recognition setups, sparking discussions about privacy and the ethical use of AI technologies.
The success of the event was not only measured by the strong participation, but also by the impact it had on the participants. Feedback collected revealed that 93% of participants found the evening a fun and enriching experience, and 87% gained a better understanding of the research carried out at Imperial. Remarkably, 59% of attendees had no prior connection to Imperial, highlighting the reach of the event and its appeal to a diverse audience.
By the end of the evening, the positive feedback and high level of public interest demonstrated the department’s commitment to making complex scientific research accessible and engaging. The Imperial Lates event not only showcased the innovative work being done at Imperial College London, but also highlighted the importance of dialogue between researchers and the wider community in shaping the future of technology and research. Company.
For more information about the Department of Computer Science’s outreach projects and upcoming events, visit our Awareness and engagement Web page.
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Mr. Ahmed inactive
Computer Science department