今日推薦開源項目：《C/C++面試知識:interview》
今日推薦英文原文：《Keeping an Eye on AI: Building Ethical Technology at Salesforce》
今日推薦開源項目：《C/C++面試知識:interview》傳送門：GitHub鏈接
推薦理由：技術面試基礎知識總結，包括語言、程序庫、數據結構、演算法、系統、網路、鏈接裝載庫等知識及面試經驗、招聘、內推等信息。
今日推薦英文原文：《Keeping an Eye on AI: Building Ethical Technology at Salesforce》作者：Lauren Finkle
原文鏈接：https://blogs.nvidia.com/blog/2020/03/25/salesforce-ethical-ai/
推薦理由：人工智慧飛速發展,人工智慧也得到了更大的自主性,我們未來不僅要關注人工智慧的技術,更要關注人工智慧在道德層面上的發展.
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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