際際滷shows by User: KathrynHume1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: KathrynHume1 / Tue, 10 Apr 2018 12:55:59 GMT 際際滷Share feed for 際際滷shows by User: KathrynHume1 No Silver Bullet: Evaluating Risks and Rewards of Enterprise Artificial Intelligence /slideshow/no-silver-bullet-evaluating-risks-and-rewards-of-enterprise-artificial-intelligence/93444698 humemarsrationalai-180410125559
This talk analyzes two case studies to illustrate the management and product development challenges companies face when applying machine learning.]]>
This talk analyzes two case studies to illustrate the management and product development challenges companies face when applying machine learning.]]> Tue, 10 Apr 2018 12:55:59 GMT /slideshow/no-silver-bullet-evaluating-risks-and-rewards-of-enterprise-artificial-intelligence/93444698 KathrynHume1@slideshare.net(KathrynHume1) No Silver Bullet: Evaluating Risks and Rewards of Enterprise Artificial Intelligence KathrynHume1 This talk analyzes two case studies to illustrate the management and product development challenges companies face when applying machine learning. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/humemarsrationalai-180410125559-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talk analyzes two case studies to illustrate the management and product development challenges companies face when applying machine learning.
No Silver Bullet: Evaluating Risks and Rewards of Enterprise Artificial Intelligence from Kathryn Hume
]]> 145 2 https://cdn.slidesharecdn.com/ss_thumbnails/humemarsrationalai-180410125559-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Ethical Algorithms: Bias in Machine Learning for NextAI /slideshow/ethical-algorithms-bias-in-machine-learning-for-nextai/79808766 humenextaislides-170915130555
This talk explains why machine learning algorithms are prone to bias, shows concrete examples, and examines regulatory, conceptual, and technical means to address these issues.]]>
This talk explains why machine learning algorithms are prone to bias, shows concrete examples, and examines regulatory, conceptual, and technical means to address these issues.]]> Fri, 15 Sep 2017 13:05:55 GMT /slideshow/ethical-algorithms-bias-in-machine-learning-for-nextai/79808766 KathrynHume1@slideshare.net(KathrynHume1) Ethical Algorithms: Bias in Machine Learning for NextAI KathrynHume1 This talk explains why machine learning algorithms are prone to bias, shows concrete examples, and examines regulatory, conceptual, and technical means to address these issues. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/humenextaislides-170915130555-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This talk explains why machine learning algorithms are prone to bias, shows concrete examples, and examines regulatory, conceptual, and technical means to address these issues.
Ethical Algorithms: Bias in Machine Learning for NextAI from Kathryn Hume
]]> 926 2 https://cdn.slidesharecdn.com/ss_thumbnails/humenextaislides-170915130555-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/humemarsrationalai-180410125559-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/no-silver-bullet-evaluating-risks-and-rewards-of-enterprise-artificial-intelligence/93444698 No Silver Bullet: Eval... https://cdn.slidesharecdn.com/ss_thumbnails/humenextaislides-170915130555-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ethical-algorithms-bias-in-machine-learning-for-nextai/79808766 Ethical Algorithms: Bi...