When companies fail to develop a robust consciousness about biases in AI it could actually land them in deep trouble. Biases can have a unfavorable impact on society in addition to on particular person well-being, they’ll reveal weaknesses in design, and be counterproductive to the aim the AI was initially designed to realize. And they are often as detrimental for the companies. Taking biases severely means actively incorporating ethics into your enterprise and taking proactive steps to handle the issue. This webinar is a primary step in that path.
On this webinar, we’ll discover algorithmic bias, ranging from its definition and penalties all the way in which to its options. What can we imply once we speak about “biases in AI”? Why is it necessary to cut back and eradicate them each for our societal and particular person well-being and for the success of the expertise and the enterprise? We’ll outline the classes of algorithmic bias illustrating them with use-cases.
It’s essential to know the core issues round algorithmic bias, however how can we transfer on to fixing them? We’ll look at the levels of innovation and the bias-related questions we must always ask at every stage. Typically answering these questions require two sorts of work to be executed: technical and moral. We’ll level to those options and clarify our mannequin for efficient and profitable drawback fixing by means of integrating ethics evaluation into the innovation
Audio system:
Cansu Canca, Ph.D. — Founder & Director of AI Ethics Lab
Laura Haaber Ihle, Ph.D. — Affiliate at AI Ethics Lab & Harvard College
Moderator:
Julia Zacharias — VP Supply & Buyer Success at Applause
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#Applause #Webinar #30.7.2020 #ETHICS #LAB
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