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David Piorkowski

IBM Research

8 papers hereh-index 161.6k citations42 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author5
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CY3
  • cs.HC3
  • cs.SE2
affiliations
  • IBM Research
Homepage
same name
  • David Piorkowski — 6 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedHow AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study

138 citations · 146 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.SE2020★ 2 cited

Towards evaluating and eliciting high-quality documentation for intelligent systems

David Piorkowski, Daniel González, John Richards +1

A vital component of trust and transparency in intelligent systems built on machine learning and artificial intelligence is the development of clear, understandable documentation.…

cs.HC2020★ 6 cited

A Methodology for Creating AI FactSheets

John Richards, David Piorkowski, Michael Hind +2

As AI models and services are used in a growing number of highstakes areas, a consensus is forming around the need for a clearer record of how these models and services are develop…

cs.CY2020

Business (mis)Use Cases of Generative AI

Stephanie Houde, Vera Liao, Jacquelyn Martino +5

Generative AI is a class of machine learning technology that learns to generate new data from training data. While deep fakes and media-and art-related generative AI breakthroughs…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.