“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI

Author:

Sambasivan Nithya1,Kapania Shivani2,Highfill Hannah3,Akrong Diana4,Paritosh Praveen5,Aroyo Lora M5

Affiliation:

1. Google Research, United States

2. Google Research India, India

3. Google Inc., United States

4. Google Research Accra, Ghana

5. Google, United States

Publisher

ACM

Reference129 articles.

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2. [n.d.]. AI Readiness Index 2019 | AI4D | IAPD. https://ai4d.ai/index2019/. (Accessed on 09/14/2020). [n.d.]. AI Readiness Index 2019 | AI4D | IAPD. https://ai4d.ai/index2019/. (Accessed on 09/14/2020).

3. [n.d.]. Landscape of AI-ML Research in India. http://www.itihaasa.com/pdf/Report_Final_ES.pdf. (Accessed on 09/15/2020). [n.d.]. Landscape of AI-ML Research in India. http://www.itihaasa.com/pdf/Report_Final_ES.pdf. (Accessed on 09/15/2020).

4. [n.d.]. UCI Machine Learning Repository. https://archive.ics.uci.edu/ml/index.php. (Accessed on 09/15/2020). [n.d.]. UCI Machine Learning Repository. https://archive.ics.uci.edu/ml/index.php. (Accessed on 09/15/2020).

5. [n.d.]. A Vision of AI for Joyful Education - Scientific American Blog Network. https://blogs.scientificamerican.com/observations/a-vision-of-ai-for-joyful-education/. (Accessed on 09/14/2020). [n.d.]. A Vision of AI for Joyful Education - Scientific American Blog Network. https://blogs.scientificamerican.com/observations/a-vision-of-ai-for-joyful-education/. (Accessed on 09/14/2020).

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