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)

#TrustworthyAI

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What is AI for Good?
We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.
More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.
AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.

Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.