Why AI Can't be Ethical - Yet | Eleanor Manley | TEDxDaltVila

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Published 2024-04-16
The tech world has a secret: we're using Deep Learning AI without fully understanding how it works. And yet many of us interact with it every single day, sometimes unknowingly, other times unsure of the consequences. Eleanor Manley, an AI engineer, argues for a shift towards a more informed engagement with Deep Learning AI, emphasising the need to address harms like hallucinations, copyright issues and negative bias for a responsible use of technology. As a Machine Learning Engineer and AI Director, Eleanor’s work spans from co-founding a VC-funded tech company to influencing AI practices across major brands. Her contributions have been recognized by organisations like NATO and Bosch as well as featured in Times Square in New York. Eleanor is on a mission to make AI more inclusive for all. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx

All Comments (21)
  • @Clammer999
    She hit the nail on the head of why AI can be scary: we don’t know how it arrives at an output given a certain input. We cannot control or fix something which we don’t know. Unfortunately big tech companies are just racing ahead to outdo one another with even deeper levels of neurons and more powerful GPUs completely ignoring this fundamental fact.
  • This video is essential viewing. It's imperative we engage in a conversation about AI. By addressing its critical issues head-on, we pave the way for a safe and transformative AI that enriches our society.
  • @NoraMarji
    Fascinating perspective on a very hot topic!
  • Perfect Perspective! It was rightly pointed out that implementing machine learning algorithms is subjective. The design choices and decision-making processes embed human biases into the technology. It's crucial to recognize these biases and address them to ensure fairness and accountability in AI applications.
  • @ContentWithEmma
    Absolutely fascinating talk! Eleanor Manley's insights into the ethical implications of deep learning AI are eye-opening. It's crucial for us to understand and address issues like hallucinations, copyright concerns, and negative bias to ensure responsible and inclusive technology usage. Her dedication to making AI more accessible and accountable is commendable. We need more conversations like these to drive positive change in the tech world!
  • Very brilliant intuition Eleanor ! Our first callenge around AI is about understanding and managing our expectations. After all, isn't it the same with politics, management, emotions ... we are at the very heart of human nature and it is great to hear an engineer putting the spotlight on that
  • Very interesting talk on a fascinating subject, which should make us all think about AI and it's uses. Excellent speaker.
  • Very interesting, looking forward to seeing more engagement from final users into the AI topics. Thanks for sharing your view!
  • @samdean6444
    An essential perspective and insight to help us evolve the conversation around ai. Enlightening and impressive as always Eleanor 🙌🏼
  • @behyve
    Eleanore, Your approach to this important topic is quite intriguing. We must be flexible and embrace change rather than avoiding it to remain in our comfort zone. Change can feel intimidating, but in the end, it’s a crucial part of progress and growth.
  • @alimacIntosh450
    Some really interesting points & love the positive possible solutions discussed! 🙌
  • @Bmetias0110
    Very good analysis on a very important topic. We need to reflect on the impact AI would have on our life.
  • We just don’t hear enough discussion about this topic, so very well presented and immensely interesting. I’ll be subscribing to keep up to date on this topic! Thanks Eleanor! X
  • Really very interesting speech that makes you think a lot about the implications that wrong human expectations or behaviours can negatively influence the use of an AI. Thank you
  • @WillyB3838
    Thought-provoking talk, thank you Eleanor. Yes we do need to be more aware of how AI deep learning is developing. And we need people like you to keep us informed.