Amazon Faces A.I. Experts
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Leaders in the field of artificial intelligence research have issued a joint letter to Amazon calling on the company to stop selling its facial recognition software to law enforcement agencies. The experts argue that the software exhibits biases against women and people of color.
切勿 by no means
署名者 signer
驳斥 to dismiss or refute
遍布 to permeate
隐私 privacy
切勿 by no means
署名者 signer
駁斥 to dismiss or refute
遍佈 to permeate
隱私 privacy
人工智能专家向亚马逊联名上书，在一封公开信中，呼吁该科技巨头，切勿将其面部识别软件Rekognition卖给执法单位。
署名者包括于谷歌、微软、脸书工作的研究者。
麻省理工学院（MIT）研究员乔伊‧布奥拉姆维尼（Joy Buolamwini）所做的一项调查中显示，Rekognition在辨识男女性别和肤色深浅时，错误率很高。
亚马逊已公开驳斥布奥拉姆维尼的研究。
但图灵奖获奖人约书亚‧本吉奥和其他人工智能领域的重要科学家，都出面支持奥拉姆维尼的研究结果和抗议行动。
根据美联社报导，奥拉姆维尼表示，学界和社会大众，不该将这种核对检查工作全权交托私人企业。
面部识别科技已逐渐遍布社会和科技领域，影响的不只是执法警务，也包括数据隐私和通报系统机构自动驾驶汽车所看到的行人。
许多产业的内部知情人士与学者都认为，这项技术需要更完善的法规管理。
一项两党联手起草的法案已提交美国国会，有望限制面部识别科技的使用。
人工智能專家向亞馬遜聯名上書，在一封公開信中，呼籲該科技巨頭，切勿將其面部識別軟件Rekognition賣給執法單位。
署名者包括於谷歌、微軟、臉書工作的研究者。
麻省理工學院（MIT）研究員喬伊‧布奧拉姆維尼（Joy Buolamwini）所做的一項調查中顯示，Rekognition在辨識男女性別和膚色深淺時，錯誤率很高。
亞馬遜已公開駁斥布奧拉姆維尼的研究。
但圖靈獎獲獎人約書亞‧本吉奧和其他人工智能領域的重要科學家，都出面支持奧拉姆維尼的研究結果和抗議行動。
根據美聯社報導，奧拉姆維尼表示，學界和社會大眾，不該將這種核對檢查工作全權交託私人企業。
面部識別科技已逐漸遍佈社會和科技領域，影響的不只是執法警務，也包括數據隱私和通報系統機構自動駕駛汽車所看到的行人。
許多產業的內部知情人士與學者都認為，這項技術需要更完善的法規管理。
一項兩黨聯手起草的法案已提交美國國會，有望限制面部識別科技的使用。
Artificial intelligence experts have issued a joint letter to Amazon calling on the company to stop selling its facial recognition software, Rekognition, to law enforcement agencies.
A.I. researchers at Google, Microsoft, and Facebook are among the letter’s cosigners.
Joy Buolamwini, a researcher at the Massachusetts Institute of Technology, has demonstrated disproportionately high error rates in Rekognition’s identification of women versus men and dark-skinned versus light-skinned faces.
Amazon has publicly dismissed Buolamwini’s work.
However, Turing prize winner Yoshua Bengio and other leaders in the A.I. field have defended Buolamwini’s findings and activism.
As reported in the Associated Press, Buolamwini said that the scholarly community and the public “can’t just leave it to companies alone to do these kinds of checks.”
Facial recognition software has begun to permeate the social and technological landscape, affecting not only law enforcement but also data privacy and informing the mechanisms by which self-driving cars “see” pedestrians.
Many industry insiders and academics argue that greater regulation is urgent. A bipartisan bill to limit the use of facial recognition technology has been introduced to the U.S. Congress.
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