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Kanta Dihal

Biographic Data

ID1506990
NAMEKanta Dihal
GIVEN NAMESKanta
FAMILY NAMEDihal
SIGNATUREDIHAL K
AFFILIATIONSUniversity of Cambridge
ORCID0000-0003-2292-7221
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR2
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Who makes AI? Gender and portrayals of AI scientists in popular film, 1920–2020

    Open Access•Syto Cavé, Kanta Dihal et al.•ARTICLE•Public Understanding of Science•2023

    It is well established both that women are underrepresented in the field of artificial intelligence (AI) and that media representations of professions have impact on career choices and prospects. We therefore hypothesised that women are underrepresented in portrayals of AI researchers in influential films. We tested this by analysing a corpus of the 142 most influential films featuring AI from 1920 to 2020, of which 86 showed one or more AI resea…

  • Imagining AI

    Stephen Cave, Kanta Dihal•EDITOR•BOOK•Imagining AI•2023

  • Race and AI

    Open Access•Syto Cavé, Kanta Dihal•ARTICLE•Philosophy & Technology•2021

    This commentary is a response to ‘More than Skin Deep’ by Shelley M. Park (Park, More than skin deep: A response to “The Whiteness of AI”, Philosophy & Technology, 2021), and a development of our own 2020 paper ‘The Whiteness of AI’. We aim to explain how representations of AI can be varied in one sense, whilst not being diverse. We argue that Whiteness’s claim to universal humanity permits a broad range of roles to White humans and White-present…

  • AI Narratives

    Stephen Cave, Kanta Dihal et al.•EDITOR•BOOK•AI Narratives•2020

  • The Whiteness of AI

    Open Access•Syto Cavé, Kanta Dihal•ARTICLE•Philosophy & Technology•2020

    This paper focuses on the fact that AI is predominantly portrayed as white—in colour, ethnicity, or both. We first illustrate the prevalent Whiteness of real and imagined intelligent machines in four categories: humanoid robots, chatbots and virtual assistants, stock images of AI, and portrayals of AI in film and television. We then offer three interpretations of the Whiteness of AI, drawing on critical race theory, particularly the idea of the W…

  • Retrofitting Robot Stories

    Kanta Dihal•ARTICLE•Science Fiction Studies•2020

    140 SCIENCE FICTION STUDIES, VOLUME 47 (2020) Grant Morrison and Frank Quiety’s JLA: Earth 2 (2000), and Ion Storm’s Anadchronox (2001) are not explained to the reader. Edrei shows how the reader must piece together clues in the narrative to understand the larger context that the protagonist naturally understands. While this is a fascinating article, Edrei writes as though the reader has read each text. The lack of useful background context about…

  • Hopes and fears for intelligent machines in fiction and reality

    Open Access•Syto Cavé, Kanta Dihal•ARTICLE•Nature Machine Intelligence•2019

  • The Many Dimensions of Charles Howard Hinton

    Kanta Dihal, Kanta Dihal Kanta Dihal•ARTICLE•Science Fiction Studies•2017

No prominent works on this page.

  • The Many Dimensions of Charles Howard Hinton

    Kanta Dihal, Kanta Dihal Kanta Dihal•ARTICLE•Science Fiction Studies•2017

  • Hopes and fears for intelligent machines in fiction and reality

    Open Access•Syto Cavé, Kanta Dihal•ARTICLE•Nature Machine Intelligence•2019

  • AI Narratives

    Stephen Cave, Kanta Dihal et al.•EDITOR•BOOK•AI Narratives•2020

  • The Whiteness of AI

    Open Access•Syto Cavé, Kanta Dihal•ARTICLE•Philosophy & Technology•2020

    This paper focuses on the fact that AI is predominantly portrayed as white—in colour, ethnicity, or both. We first illustrate the prevalent Whiteness of real and imagined intelligent machines in four categories: humanoid robots, chatbots and virtual assistants, stock images of AI, and portrayals of AI in film and television. We then offer three interpretations of the Whiteness of AI, drawing on critical race theory, particularly the idea of the W…

  • Retrofitting Robot Stories

    Kanta Dihal•ARTICLE•Science Fiction Studies•2020

    140 SCIENCE FICTION STUDIES, VOLUME 47 (2020) Grant Morrison and Frank Quiety’s JLA: Earth 2 (2000), and Ion Storm’s Anadchronox (2001) are not explained to the reader. Edrei shows how the reader must piece together clues in the narrative to understand the larger context that the protagonist naturally understands. While this is a fascinating article, Edrei writes as though the reader has read each text. The lack of useful background context about…

  • Race and AI

    Open Access•Syto Cavé, Kanta Dihal•ARTICLE•Philosophy & Technology•2021

    This commentary is a response to ‘More than Skin Deep’ by Shelley M. Park (Park, More than skin deep: A response to “The Whiteness of AI”, Philosophy & Technology, 2021), and a development of our own 2020 paper ‘The Whiteness of AI’. We aim to explain how representations of AI can be varied in one sense, whilst not being diverse. We argue that Whiteness’s claim to universal humanity permits a broad range of roles to White humans and White-present…

  • Who makes AI? Gender and portrayals of AI scientists in popular film, 1920–2020

    Open Access•Syto Cavé, Kanta Dihal et al.•ARTICLE•Public Understanding of Science•2023

    It is well established both that women are underrepresented in the field of artificial intelligence (AI) and that media representations of professions have impact on career choices and prospects. We therefore hypothesised that women are underrepresented in portrayals of AI researchers in influential films. We tested this by analysing a corpus of the 142 most influential films featuring AI from 1920 to 2020, of which 86 showed one or more AI resea…

  • Imagining AI

    Stephen Cave, Kanta Dihal•EDITOR•BOOK•Imagining AI•2023

Art (7 works) · Sociology (7 works) · Aesthetics (5 works) · Literature (5 works) · Epistemology (4 works) · Narrative (4 works) · Philosophy (4 works) · Psychology (4 works) · Computer Science (3 works) · Ethics and Social Impacts of AI (3 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae