Daniel S Schiff
Biographic Data
| ID | 1066909 |
|---|---|
| NAME | Daniel S Schiff |
| GIVEN NAMES | Daniel S |
| FAMILY NAME | Schiff |
| SIGNATURE | SCHIFF D S |
| AFFILIATIONS | Purdue University West Lafayette |
| ORCID | 0000-0002-4376-7303 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 103 |
| AUTHOR COUNT | 19 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1864 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 6 |
How New Issues Become Polarized: Partisan Triggers and Subsystem Shopping in Early AI Policymaking
Early AI policymaking in the United States appeared bipartisan, but subsequent developments raise the question of whether AI policy will become more polarized over time. To examine how partisanship takes root around novel policy issues, we perform a mixed‐methods study, analyzing survey data from 129 state legislators in 44 states and performing four case studies featuring legislative debates over enacted AI regulation in Idaho, Colorado, and Ill…
Transparency, neutrality, voice, and respect: How procedural fairness considerations affect AI acceptability in algorithmic societies
Public attitudes toward artificial intelligence (AI) are often explained in terms of users’ perceived costs and benefits. More recent research emphasizes societal concerns and procedural fairness, yet these different dimensions have rarely been integrated into a unified explanatory framework. This article offers the first joint domain-general test of outcome- and process-oriented approaches to explain public acceptability of AI. We argue that bel…
The Liar's Dividend: Can Politicians Claim Misinformation to Evade Accountability
This study addresses the phenomenon of misinformation about misinformation, or politicians "crying wolf" over fake news. Strategic and false claims that stories are fake news or deepfakes may benefit politicians by helping them maintain support after a scandal. We posit that this benefit, known as the "liar's dividend," may be achieved through two politician strategies: by invoking informational uncertainty or by encouraging oppositional rallying…
Synthetic Health Data: Real Ethical Promise and Peril
Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accur…
The emergence of artificial intelligence ethics auditing
The emerging ecosystem of artificial intelligence (AI) ethics and governance auditing has grown rapidly in recent years in anticipation of impending regulatory efforts that encourage both internal and external auditing. Yet, there is limited understanding of this evolving landscape. We conduct an interview-based study of 34 individuals in the AI ethics auditing ecosystem across seven countries to examine the motivations, key auditing activities, …
Speaking of reform: Experimental insights into influencing police executives' perspectives on civilian oversight
Research summary This study investigates how information about public opinion and peer practices influences police executives' views on civilian review boards. We applied structural topic modeling in an experimental paradigm, a novel approach diverging from traditional experimental survey methods, to the open‐ended responses of 1331 police executives collected in an original survey experiment. This technique enables the capture of subtle shifts i…
Framing contestation and public influence on policymakers: Evidence from US artificial intelligence policy discourse
As artificial intelligence (AI) policy has begun to take shape in recent years, policy actors have worked to influence policymakers by strategically promoting issue frames that define the problems and solutions policymakers should attend to. Three such issue frames are especially prominent, surrounding AI’s economic, geopolitical, and ethical dimensions. Relatedly, while technology policy is traditionally expert-dominated, new governance paradigm…
Police reform from the top down: Experimental evidence on police executive support for civilian oversight
The accountability of police to the public is imperative for a functioning democracy. The opinions of police executives—pivotal actors for implementing oversight policies—are an understudied, critical component of successful reform efforts. We use a pre‐registered survey experiment administered to all U.S. municipal police chiefs and county sheriffs to assess whether police executives’ attitudes towards civilian oversight are responsive to 1) sta…
The impact of community engagement on undergraduate social responsibility attitudes
The literature on student development cautions that social responsibility attitudes may stagnate or decline as students proceed through college. Given the importance of students’ future professional obligations to society, identifying ways to reverse this trend is crucial. In turn, an important aim of this study, situated at a large public university, is to evaluate the prospects of community engagement as a strategy to foster professional social…
Institutional factors driving citizen perceptions of AI in government: Evidence from a survey experiment on policing
Law enforcement agencies are increasingly adopting artificial intelligence (AI)‐powered tools. While prior work emphasizes the technological features driving public opinion, we investigate how public trust and support for AI in government vary with the institutional context. We administer a pre‐registered survey experiment to 4200 respondents about AI use cases in policing to measure responsiveness to three key institutional factors: bureaucratic…
Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy
The policy agenda is currently being established for artificial intelligence (AI), a domain marked by complex and sweeping implications for economic transformation tempered by concerns about social and ethical risks. This article reviews the United States national AI policy strategy through extensive qualitative and quantitative content analysis of 63 strategic AI policy documents curated by the federal government between 2016 and 2020. Drawing o…
Narratives and expert information in agenda‐setting: Experimental evidence on state legislator engagement with artificial intelligence policy
Are narratives as influential in gaining the attention of policymakers as expert information, including for complex, technical policy domains such as artificial intelligence (AI) policy? This pre‐registered study uses a field experiment to evaluate legislator responsiveness to policy entrepreneur outreach. In partnership with a leading AI think tank, we send more than 7300 U.S. state legislative offices emails about AI policy containing an influe…
Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies
Out of the laboratory and into the classroom: The future of artificial intelligence in education
Explaining the Principles to Practices Gap in AI
As artificial intelligence (AI) permeates across social and economic life, its ethical and governance implications have come to the forefront. Active debates surround AI's role in labor displacement, autonomous vehicles, military, misinformation, healthcare, education, and more. As societies collectively grapple with these challenges, new opportunities for AI to proactively contribute to social good (AI4SG) and equity (AI4Eq) have also been propo…
The impact of automation and artificial intelligence on worker well-being
Assessing public value failure in government adoption of artificial intelligence
In the context of rising delegation of administrative discretion to advanced technologies, this study aims to quantitatively assess key public values that may be at risk when governments employ automated decision systems (ADS). Drawing on the public value failure framework coupled with experimental methodology, we address the need to measure and compare the salience of three such values—fairness, transparency, and human responsiveness. Based on a…
How Should Clinicians Communicate With Patients About the Roles of Artificially Intelligent Team Members
This commentary responds to a hypothetical case involving an assistive artificial intelligence (AI) surgical device and focuses on potential harms emerging from interactions between humans and AI systems. Informed consent and responsibility-specifically, how responsibility should be distributed among professionals, technology companies, and other stakeholders-for uses of AI in health care are discussed
De koloniale politiek onder den raadspensionaris Rutger Jan Schimmelpenninck
Assessing public value failure in government adoption of artificial intelligence
In the context of rising delegation of administrative discretion to advanced technologies, this study aims to quantitatively assess key public values that may be at risk when governments employ automated decision systems (ADS). Drawing on the public value failure framework coupled with experimental methodology, we address the need to measure and compare the salience of three such values—fairness, transparency, and human responsiveness. Based on a…
Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy
The policy agenda is currently being established for artificial intelligence (AI), a domain marked by complex and sweeping implications for economic transformation tempered by concerns about social and ethical risks. This article reviews the United States national AI policy strategy through extensive qualitative and quantitative content analysis of 63 strategic AI policy documents curated by the federal government between 2016 and 2020. Drawing o…
The impact of automation and artificial intelligence on worker well-being
Institutional factors driving citizen perceptions of AI in government: Evidence from a survey experiment on policing
Law enforcement agencies are increasingly adopting artificial intelligence (AI)‐powered tools. While prior work emphasizes the technological features driving public opinion, we investigate how public trust and support for AI in government vary with the institutional context. We administer a pre‐registered survey experiment to 4200 respondents about AI use cases in policing to measure responsiveness to three key institutional factors: bureaucratic…
Narratives and expert information in agenda‐setting: Experimental evidence on state legislator engagement with artificial intelligence policy
Are narratives as influential in gaining the attention of policymakers as expert information, including for complex, technical policy domains such as artificial intelligence (AI) policy? This pre‐registered study uses a field experiment to evaluate legislator responsiveness to policy entrepreneur outreach. In partnership with a leading AI think tank, we send more than 7300 U.S. state legislative offices emails about AI policy containing an influe…
The Liar's Dividend: Can Politicians Claim Misinformation to Evade Accountability
This study addresses the phenomenon of misinformation about misinformation, or politicians "crying wolf" over fake news. Strategic and false claims that stories are fake news or deepfakes may benefit politicians by helping them maintain support after a scandal. We posit that this benefit, known as the "liar's dividend," may be achieved through two politician strategies: by invoking informational uncertainty or by encouraging oppositional rallying…
Police reform from the top down: Experimental evidence on police executive support for civilian oversight
The accountability of police to the public is imperative for a functioning democracy. The opinions of police executives—pivotal actors for implementing oversight policies—are an understudied, critical component of successful reform efforts. We use a pre‐registered survey experiment administered to all U.S. municipal police chiefs and county sheriffs to assess whether police executives’ attitudes towards civilian oversight are responsive to 1) sta…
Framing contestation and public influence on policymakers: Evidence from US artificial intelligence policy discourse
As artificial intelligence (AI) policy has begun to take shape in recent years, policy actors have worked to influence policymakers by strategically promoting issue frames that define the problems and solutions policymakers should attend to. Three such issue frames are especially prominent, surrounding AI’s economic, geopolitical, and ethical dimensions. Relatedly, while technology policy is traditionally expert-dominated, new governance paradigm…
The impact of community engagement on undergraduate social responsibility attitudes
The literature on student development cautions that social responsibility attitudes may stagnate or decline as students proceed through college. Given the importance of students’ future professional obligations to society, identifying ways to reverse this trend is crucial. In turn, an important aim of this study, situated at a large public university, is to evaluate the prospects of community engagement as a strategy to foster professional social…
De koloniale politiek onder den raadspensionaris Rutger Jan Schimmelpenninck
How Should Clinicians Communicate With Patients About the Roles of Artificially Intelligent Team Members
This commentary responds to a hypothetical case involving an assistive artificial intelligence (AI) surgical device and focuses on potential harms emerging from interactions between humans and AI systems. Informed consent and responsibility-specifically, how responsibility should be distributed among professionals, technology companies, and other stakeholders-for uses of AI in health care are discussed
Out of the laboratory and into the classroom: The future of artificial intelligence in education
Explaining the Principles to Practices Gap in AI
As artificial intelligence (AI) permeates across social and economic life, its ethical and governance implications have come to the forefront. Active debates surround AI's role in labor displacement, autonomous vehicles, military, misinformation, healthcare, education, and more. As societies collectively grapple with these challenges, new opportunities for AI to proactively contribute to social good (AI4SG) and equity (AI4Eq) have also been propo…
The impact of automation and artificial intelligence on worker well-being
Assessing public value failure in government adoption of artificial intelligence
In the context of rising delegation of administrative discretion to advanced technologies, this study aims to quantitatively assess key public values that may be at risk when governments employ automated decision systems (ADS). Drawing on the public value failure framework coupled with experimental methodology, we address the need to measure and compare the salience of three such values—fairness, transparency, and human responsiveness. Based on a…
Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies
Institutional factors driving citizen perceptions of AI in government: Evidence from a survey experiment on policing
Law enforcement agencies are increasingly adopting artificial intelligence (AI)‐powered tools. While prior work emphasizes the technological features driving public opinion, we investigate how public trust and support for AI in government vary with the institutional context. We administer a pre‐registered survey experiment to 4200 respondents about AI use cases in policing to measure responsiveness to three key institutional factors: bureaucratic…
Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy
The policy agenda is currently being established for artificial intelligence (AI), a domain marked by complex and sweeping implications for economic transformation tempered by concerns about social and ethical risks. This article reviews the United States national AI policy strategy through extensive qualitative and quantitative content analysis of 63 strategic AI policy documents curated by the federal government between 2016 and 2020. Drawing o…
Narratives and expert information in agenda‐setting: Experimental evidence on state legislator engagement with artificial intelligence policy
Are narratives as influential in gaining the attention of policymakers as expert information, including for complex, technical policy domains such as artificial intelligence (AI) policy? This pre‐registered study uses a field experiment to evaluate legislator responsiveness to policy entrepreneur outreach. In partnership with a leading AI think tank, we send more than 7300 U.S. state legislative offices emails about AI policy containing an influe…
Synthetic Health Data: Real Ethical Promise and Peril
Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accur…
The emergence of artificial intelligence ethics auditing
The emerging ecosystem of artificial intelligence (AI) ethics and governance auditing has grown rapidly in recent years in anticipation of impending regulatory efforts that encourage both internal and external auditing. Yet, there is limited understanding of this evolving landscape. We conduct an interview-based study of 34 individuals in the AI ethics auditing ecosystem across seven countries to examine the motivations, key auditing activities, …
Speaking of reform: Experimental insights into influencing police executives' perspectives on civilian oversight
Research summary This study investigates how information about public opinion and peer practices influences police executives' views on civilian review boards. We applied structural topic modeling in an experimental paradigm, a novel approach diverging from traditional experimental survey methods, to the open‐ended responses of 1331 police executives collected in an original survey experiment. This technique enables the capture of subtle shifts i…
Framing contestation and public influence on policymakers: Evidence from US artificial intelligence policy discourse
As artificial intelligence (AI) policy has begun to take shape in recent years, policy actors have worked to influence policymakers by strategically promoting issue frames that define the problems and solutions policymakers should attend to. Three such issue frames are especially prominent, surrounding AI’s economic, geopolitical, and ethical dimensions. Relatedly, while technology policy is traditionally expert-dominated, new governance paradigm…
Police reform from the top down: Experimental evidence on police executive support for civilian oversight
The accountability of police to the public is imperative for a functioning democracy. The opinions of police executives—pivotal actors for implementing oversight policies—are an understudied, critical component of successful reform efforts. We use a pre‐registered survey experiment administered to all U.S. municipal police chiefs and county sheriffs to assess whether police executives’ attitudes towards civilian oversight are responsive to 1) sta…
The impact of community engagement on undergraduate social responsibility attitudes
The literature on student development cautions that social responsibility attitudes may stagnate or decline as students proceed through college. Given the importance of students’ future professional obligations to society, identifying ways to reverse this trend is crucial. In turn, an important aim of this study, situated at a large public university, is to evaluate the prospects of community engagement as a strategy to foster professional social…
The Liar's Dividend: Can Politicians Claim Misinformation to Evade Accountability
This study addresses the phenomenon of misinformation about misinformation, or politicians "crying wolf" over fake news. Strategic and false claims that stories are fake news or deepfakes may benefit politicians by helping them maintain support after a scandal. We posit that this benefit, known as the "liar's dividend," may be achieved through two politician strategies: by invoking informational uncertainty or by encouraging oppositional rallying…
How New Issues Become Polarized: Partisan Triggers and Subsystem Shopping in Early AI Policymaking
Early AI policymaking in the United States appeared bipartisan, but subsequent developments raise the question of whether AI policy will become more polarized over time. To examine how partisanship takes root around novel policy issues, we perform a mixed‐methods study, analyzing survey data from 129 state legislators in 44 states and performing four case studies featuring legislative debates over enacted AI regulation in Idaho, Colorado, and Ill…
Transparency, neutrality, voice, and respect: How procedural fairness considerations affect AI acceptability in algorithmic societies
Public attitudes toward artificial intelligence (AI) are often explained in terms of users’ perceived costs and benefits. More recent research emphasizes societal concerns and procedural fairness, yet these different dimensions have rarely been integrated into a unified explanatory framework. This article offers the first joint domain-general test of outcome- and process-oriented approaches to explain public acceptability of AI. We argue that bel…
Political science (16 works) · Public relations (10 works) · Psychology (9 works) · Engineering (8 works) · Computer Science (7 works) · Law (7 works) · Law (7 works) · Sociology (7 works) · Business (6 works) · Ethics and Social Impacts of AI (6 works)