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Bangladeshi-Origin AI Expert Rumman Chowdhury Named in Time 100 AI List

Bangladeshi-Origin AI Expert Rumman Chowdhury Named in Time 100 AI List

Rumman Chowdhury led Twitter’s META (Machine Learning Ethics, Transparency, and Accountability) team previously. The team was responsible with discovering and addressing algorithmic vulnerabilities to the platform.

Dr. from Bangladesh for his contributions to artificial intelligence. Rumman Chowdhury’s name has been included to the list of Time 100 AI.

He is a data scientist and social scientist who is researching algorithmic ethics.

He states in his LinkedIn bio, ‘For the past six years, I have been building cutting-edge socio-technical solutions for ethical, interpretable, and transparent AI.’

He previously led the META (Machine Learning Ethics, Transparency, and Accountability) team at Twitter. The team was responsible with discovering and addressing algorithmic vulnerabilities to the platform.

Rumman Chowdhury earned a master’s degree from Columbia University in 2006 and a doctorate from the University of California in 2014. He has been in this industry for almost a decade.

He was a co-host at an event held in Las Vegas, Nevada, at the beginning of August. It deployed over 4,000 hackers to breach the systems of OpenAI, Google, and Anthropic chatbots. Hackers earn points if they can make artificial intelligence (AI) disobey its own laws. The winning hacker discovered multiple flaws. A chatbot, for example, reveals a credit card number that was supposed to be kept private.

Rumman Chowdhury is the founder of the non-profit Human Intelligence. At the request of another organization, the organization attempts to identify digital security weaknesses and then tells that organization. This is known as red teaming. As a result, it is common practice to reward hackers for discovering holes in computer systems.

The goal of assembling hackers like this in August was to make hacking the AI system more difficult. Identifying and correcting AI flaws. in order to avoid the possibility of discovery following public exposure.


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