Steven Cheung
Biographic Data
| ID | 238363 |
|---|---|
| NAME | Steven Cheung |
| GIVEN NAMES | Steven |
| FAMILY NAME | Cheung |
| SIGNATURE | CHEUNG S |
| AFFILIATIONS | Calgary, Canada |
| ORCID | 0000-0003-1184-7592 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 20 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1995 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Generative AI, generating crisis: Framing opportunity and threat in AI governance
The public release of high-profile generative AI models in late 2022 and early 2023 spurred widespread concerns over ‘existential threats’ to humanity from AI. This paper explores how this AI ‘crisis’ impacted ongoing approaches to AI, altering policymakers’ strategies to govern these technologies. Drawing on policy analysis approaches that highlight the role of ideas, this paper finds that, in response to perceived crisis and a frame of threat t…
Disambiguating the benefits and risks from public health data in the digital economy
This article focuses on key roles that the ill-defined concept of 'public benefit' plays in accessing the public health data held by the UK's National Health Service. Using the concept of the 'trade-off fallacy', this article argues that current data access and governance structures, based on particular construals of public benefit in the context of public health data, largely negate the possibility of effective control by individuals over future…
Culture, Gender, and Response Bias: An Analysis of Responses to the Self-Description Questionnaire
The possibility of culture and gender differences in response styles was explored. The responses of 1,717 participants aged 12-14 years from Australia, China, Nepal, Nigeria, and the Philippines to the Self-Description Questionnaire-I (SDQ-1) were analyzed for evidence of inconsistent responding, negativity or positivity bias, lack of profile variation, and social desirability. No evidence of a major social desirability factor but relatively subs…
Culture, Gender, and Response Bias: An Analysis of Responses to the Self-Description Questionnaire
The possibility of culture and gender differences in response styles was explored. The responses of 1,717 participants aged 12-14 years from Australia, China, Nepal, Nigeria, and the Philippines to the Self-Description Questionnaire-I (SDQ-1) were analyzed for evidence of inconsistent responding, negativity or positivity bias, lack of profile variation, and social desirability. No evidence of a major social desirability factor but relatively subs…
Disambiguating the benefits and risks from public health data in the digital economy
This article focuses on key roles that the ill-defined concept of 'public benefit' plays in accessing the public health data held by the UK's National Health Service. Using the concept of the 'trade-off fallacy', this article argues that current data access and governance structures, based on particular construals of public benefit in the context of public health data, largely negate the possibility of effective control by individuals over future…
Culture, Gender, and Response Bias: An Analysis of Responses to the Self-Description Questionnaire
The possibility of culture and gender differences in response styles was explored. The responses of 1,717 participants aged 12-14 years from Australia, China, Nepal, Nigeria, and the Philippines to the Self-Description Questionnaire-I (SDQ-1) were analyzed for evidence of inconsistent responding, negativity or positivity bias, lack of profile variation, and social desirability. No evidence of a major social desirability factor but relatively subs…
Disambiguating the benefits and risks from public health data in the digital economy
This article focuses on key roles that the ill-defined concept of 'public benefit' plays in accessing the public health data held by the UK's National Health Service. Using the concept of the 'trade-off fallacy', this article argues that current data access and governance structures, based on particular construals of public benefit in the context of public health data, largely negate the possibility of effective control by individuals over future…
Generative AI, generating crisis: Framing opportunity and threat in AI governance
The public release of high-profile generative AI models in late 2022 and early 2023 spurred widespread concerns over ‘existential threats’ to humanity from AI. This paper explores how this AI ‘crisis’ impacted ongoing approaches to AI, altering policymakers’ strategies to govern these technologies. Drawing on policy analysis approaches that highlight the role of ideas, this paper finds that, in response to perceived crisis and a frame of threat t…
Political science (3 works) · Corporate governance (2 works) · Economics (2 works) · Public relations (2 works) · Artificial Intelligence (1 works) · Business (1 works) · Child and Adolescent Psychosocial and Emotional Development (1 works) · Collectivism (1 works) · Computer Science (1 works) · Cultural Differences and Values (1 works)