今日推荐开源项目：《C/C++面试知识:interview》
今日推荐英文原文：《Keeping an Eye on AI: Building Ethical Technology at Salesforce》
今日推荐开源项目：《C/C++面试知识:interview》传送门：GitHub链接
推荐理由：技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。
今日推荐英文原文：《Keeping an Eye on AI: Building Ethical Technology at Salesforce》作者：Lauren Finkle
原文链接：https://blogs.nvidia.com/blog/2020/03/25/salesforce-ethical-ai/
推荐理由：人工智能飞速发展,人工智能也得到了更大的自主性,我们未来不仅要关注人工智能的技术,更要关注人工智能在道德层面上的发展.
Keeping an Eye on AI: Building Ethical Technology at Salesforce
Kathy Baxter, the architect of the ethical AI practice at Salesforce, is helping her team and clients create more responsible technology. To do so, she supports employee education, the inclusion of safeguards in Salesforce technology, and collaboration with other companies to improve ethical AI across industries.Baxter spoke with AI Podcast host Noah Kravitz about her role at the company, a position she helped create as the need for AI ethicists became apparent.
She’s helped construct practices such as release readiness planning, in which teams brainstorm any potential unintended negative consequences, along with ways to mitigate them.
In the future, Baxter predicts more global policies that will help companies define ethical AI and guide them in creating responsible technology.
Kathy Baxter, architect of ethical AI at Salesforce.
Key Points From This Episode:
- There are several ways to correct bias in AI. This includes making edits to the training data or editing the model itself (for example, not using race or gender as a factor).
- Einstein is Salesforce’s AI platform. The company implements in-app guidance through a feature called Einstein Discovery. One of its functions is to alert users when they might be using sensitive variables such as age, race or gender. Administrators can also select the variables they don’t want to include in their model, to avoid accidental bias.
Tweetables:
“We have to understand that everything that we build and bring into society has an impact,” — Kathy Baxter [2:29]“One of the magical things about AI is that we can become aware of biases that we might not have known even existed in our business processes in the first place.” — Kathy Baxter [10:18]
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