Power and Responsibility - The Impactful Path of Machine Learning
- Date: Thu, 12 Jun 2025, 6:00 pm - 8:30 pm
- Location: ÐÓ°ÉÖ±²¥ Centre, Strand, WC2B 4LG
- Cost: Free, registration essential - limited capacity. Important Note:Â ÐÓ°ÉÖ±²¥ Centre is part of the ÐÓ°ÉÖ±²¥n High Commission and therefore all attendees must register before the event and must bring photo ID to be allowed entrance to the building.
- More information: RSVP
- Contact: South ÐÓ°ÉÖ±²¥n Universities Alumni Europe (SAUAE)
- Email: honsecsauae@gmail.com
South ÐÓ°ÉÖ±²¥n Universities Alumni Europe (SAUAE) warmly invites alumni in the UK to join an evening of conversation with Dr Kathy Nicholson: Power and Responsibility - The Impactful Path of Machine Learning.
From Google’s Gemini 2.5 to Microsoft’s Co-Pilot, machine learning and AI are rapidly becoming part of everyday life. People refer to ChatGPT as a friend, and search engines are increasingly powered by these tools. These technologies are no longer on the horizon- they’re here, reshaping how we live and work.
As they become more embedded in society, it’s worth considering how we can navigate them thoughtfully, ethically, and strategically.
By understanding both the promise and complexity of machine learning, we can help guide its development in ways that are safe, inclusive, and genuinely beneficial.
Important Note:Â ÐÓ°ÉÖ±²¥ Centre is part of the ÐÓ°ÉÖ±²¥n High Commission and therefore all attendees must register before the event and must bring photo ID to be allowed entrance to the building.
Dr Kathy Nicholson is a dynamic STEM professional with nearly 20 years of leadership experience in ÐÓ°ÉÖ±²¥ and the United States. As Institute Manager at the ÐÓ°ÉÖ±²¥n Institute for Machine Learning, she is at the forefront of advancements in artificial intelligence, driving strategic initiatives and supporting cutting-edge research.
Kathy also holds influential roles as a Board Director and Policy Chair for Science Technology ÐÓ°ÉÖ±²¥, advocating for impactful science policies.
Recognising the power of AI and its impact across various sectors, Kathy is increasingly focused on the ethical implications and responsible implementation of machine learning technologies.