In AI we trust | AI for Good Webinar
Trust is increasingly the largest challenge for advancing Artificial Intelligence (AI) across various applications, from road safety to health and education. Building trust in AI technology is becoming a common concern even for the most optimistic AI practitioner. The risks lie in all stages of AI exploration, from the privacy problem in data management to fairness and responsibility considerations in model training, and cybersecurity concerns around model attack during model inference.
If AI is to take its place as a driving force in the 4th industrial revolution acting as a second brain driving social innovation, we need to make sure that it is reliable, trustworthy and responsible.
Speakers:
Jing Fang
Research expert
Shanghai Fudata Technology Co., Ltd.
Kewen Wang
AI senior algorithm engineer
ZTE
Xuhong Li
Researcher
Baidu
Moderators:
Vishnu Ram OV
Independent Research Consultant
International Telecommunication Union (ITU)
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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
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