Adriano Soares Koshiyama

Adriano Soares Koshiyama

University College London

H-index: 16

Europe-United Kingdom

About Adriano Soares Koshiyama

Adriano Soares Koshiyama, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at University College London, specializes in the field of Trustworthy AI, AI Auditing, AI Assurance, AI Risk Management, AI Governance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Eliciting Big Five Personality Traits in Large Language Models: A Textual Analysis with Classifier-Driven Approach

Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation

Intersectional Fairness: A Fractal Approach

Evaluating explainability for machine learning predictions using model-agnostic metrics

Towards Auditing Large Language Models: Improving Text-based Stereotype Detection

Uncovering bias in face generation models

Deep learning model fragility and implications for financial stability and regulation

Local Law 144: A Critical Analysis of Regression Metrics

Adriano Soares Koshiyama Information

University

Position

Research Fellow in Computer Science at

Citations(all)

955

Citations(since 2020)

865

Cited By

257

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

25

i10Index(since 2020)

22

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Adriano Soares Koshiyama Skills & Research Interests

Trustworthy AI

AI Auditing

AI Assurance

AI Risk Management

AI Governance

Top articles of Adriano Soares Koshiyama

Title

Journal

Author(s)

Publication Date

Eliciting Big Five Personality Traits in Large Language Models: A Textual Analysis with Classifier-Driven Approach

arXiv preprint arXiv:2402.08341

Airlie Hilliard

Cristian Munoz

Zekun Wu

Adriano Soares Koshiyama

2024/2/13

Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation

arXiv preprint arXiv:2404.01768

Zekun Wu

Sahan Bulathwela

Maria Perez-Ortiz

Adriano Soares Koshiyama

2024/4/2

Intersectional Fairness: A Fractal Approach

arXiv preprint arXiv:2302.12683

Giulio Filippi

Sara Zannone

Adriano Koshiyama

2023/2/24

Evaluating explainability for machine learning predictions using model-agnostic metrics

arXiv preprint arXiv:2302.12094

Cristian Munoz

Kleyton da Costa

Bernardo Modenesi

Adriano Koshiyama

2023/2/23

Towards Auditing Large Language Models: Improving Text-based Stereotype Detection

Zekun Wu

Sahan Bulathwela

Adriano Koshiyama

2023/11/28

Uncovering bias in face generation models

arXiv preprint arXiv:2302.11562

Cristian Muñoz

Sara Zannone

Umar Mohammed

Adriano Koshiyama

2023/2/22

Deep learning model fragility and implications for financial stability and regulation

Rishabh Kumar

Adriano Koshiyama

Kleyton da Costa

Nigel Kingsman

Marvin Tewarrie

...

2023/9/21

Local Law 144: A Critical Analysis of Regression Metrics

arXiv preprint arXiv:2302.04119

Giulio Filippi

Sara Zannone

Airlie Hilliard

Adriano Koshiyama

2023/2/8

The future of cybercrime: AI and emerging technologies are creating a cybercrime tsunami

Philip Treleaven

Jeremy Barnett

Daniel Brown

Andrew Bud

Enzo Fenoglio

...

2023/7/12

Proposed EU AI Act—Presidency compromise text: select overview and comment on the changes to the proposed regulation

AI and Ethics

Emre Kazim

Osman Güçlütürk

Denise Almeida

Charles Kerrigan

Elizabeth Lomas

...

2023/5

Local and Global Explainability Metrics for Machine Learning Predictions.

arXiv preprint arXiv:2302.12094

Cristian Munoz

Kleyton da Costa

Bernardo Modenesi

A Koshiyama

2023/2

AUTOMATION AND FAIRNESS

Emre Kazim

Adriano Koshiyama

Jeremy Barnett

Charles Kerrigan

2022/3/17

Overview and commentary of the CDEI's extended roadmap to an effective AI assurance ecosystem

Ethan Barrance

Emre Kazim

Airlie Hilliard

Markus Trengove

Sara Zannone

...

2022/8/10

Tacit knowledge elicitation process for industry 4.0

Discover Artificial Intelligence

Enzo Fenoglio

Emre Kazim

Hugo Latapie

Adriano Koshiyama

2022/3/10

On the sui generis value capture of new digital technologies: The case of AI

Emre Kazim

Enzo Fenoglio

Airlie Hilliard

Adriano Koshiyama

Catherine Mulligan

...

2022/7/8

Public sector AI transparency standard: UK Government seeks to lead by example

Discover Artificial Intelligence

Nigel Kingsman

Emre Kazim

Ali Chaudhry

Airlie Hilliard

Adriano Koshiyama

...

2022/2/21

Regulating the robots: NYC mandates bias audits for ai-driven employment decisions

Available at SSRN 4083189

Airlie Hilliard

Emre Kazim

Adriano Koshiyama

Sara Zannone

Markus Trengove

...

2022/4/13

Discover Artificial Intelligence

Discover

Yuchen Jiang

Xiang Li

Hao Luo

Shen Yin

Okyay Kaynak

2021

Review of the CDEI’s Extended Roadmap to an Effective AI Assurance Ecosystem

Available at SSRN 4081132

Ethan Barrance

Markus Trengove

Emre Kazim

Airlie Hilliard

Sara Zannone

...

2022/4/11

Algorithm auditing: Managing the legal, ethical, and technological risks of artificial intelligence, machine learning, and associated algorithms

Computer

Adriano Koshiyama

Emre Kazim

Philip Treleaven

2022/4/11

See List of Professors in Adriano Soares Koshiyama University(University College London)

Co-Authors

H-index: 39
David Barber

David Barber

University College London

H-index: 38
Parashkev Nachev

Parashkev Nachev

University College London

H-index: 36
Randy Goebel

Randy Goebel

University of Alberta

H-index: 33
Marley Vellasco

Marley Vellasco

Pontifícia Universidade Católica do Rio de Janeiro

H-index: 31
Marco Aurelio Cavalcanti Pacheco

Marco Aurelio Cavalcanti Pacheco

Pontifícia Universidade Católica do Rio de Janeiro

H-index: 24
Rosane Nora Castro

Rosane Nora Castro

Universidade Federal Rural do Rio de Janeiro

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