Nikita Aggarwal

Safety Research · 2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nikita Aggarwal trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Luciano Floridi
  2. Reuben Binns

Papers from Nikita Aggarwal's perspective

Ordered by how strongly the researchers Nikita Aggarwal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. How the machine ‘thinks’: Understanding opacity in machine learning algorithms
  2. Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management
  3. Datasheets for datasets
  4. Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data
  5. Race After Technology: Abolitionist Tools for the New Jim Code
  6. Algorithmic Accountability and Public Reason
  7. Society-in-the-loop: programming the algorithmic social contract (Ethics and Information Technology)
  8. The limits of transparency: Data brokers and commodification
  9. A Unified Framework of Five Principles for AI in Society
  10. Data ethics

Their papers