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 on a prominent theory of agenda setting, the Multiple Streams Framework, and in light of competing paradigms of technology policy, this article reviews how the U.S. government understands the key policy problems, solutions, and issue frames associated with AI. Findings indicate minimal attention to focusing events or problem indicators emphasizing social and ethical concerns, as opposed to economic and geopolitical ones. Further, broad statements noting ethical dimensions of AI often fail to translate into specific policy solutions, which may be explained by a lack of technical feasibility or value acceptability of ethics-related policy solutions, along with institutional constraints for agencies in specific policy sectors. Finally, despite widespread calls for increased public participation, proposed solutions remain expert dominated. Overall, while the emerging U.S. AI policy agenda reflects a striking level of attention to ethics—a promising development for policy stakeholders invested in AI ethics and more socially oriented approaches to technology governance—this success is only partial and is ultimately layered into a traditional strategic approach to innovation policy.     

Narrative dynamics in European Commission AI policy—Sensemaking,agency construction,and anchoring

Artificial Intelligence (AI) is arguably one of the most powerful and disruptive technologies of our times which may pose challenges as well as opportunities to contemporary political organizations. Studying AI from a lens of perceived uncertainty, this article studies the policy response of the European Commission toward this fast-paced emerging technology. By empirically focusing on the Commission's policy process from start to end, from initial communication to concrete proposal, the article shows how different types of narratives are used to construct the new policy area of AI policy. A novel theoretical framework is constructed building on a combination of narrative organizational studies and narrative policy studies, displaying how narratives play a key role in organizational sensemaking, agency construction and anchoring. The paper finds that the Commission broadly makes sense of AI technologies with a future-oriented discourse, establishes agency to existing and new forms of political organizing and anchors the policy response within the overarching frame of the EU single market policy. The main contribution of the paper is that it shows how political organizations settles uncertainty through narratives and sketches a way forward through establishing policy goals and anchoring them within pre-existing lines of political mobilization.     

Policy conflicts in shale development in China and the United States

Policy conflicts are ubiquitous in many countries. Yet research on policy conflict is typically based on cases in western, democratic countries. As a result, little is known about the characteristics of policy conflicts in non-western countries, such as China, or how these characteristics compare to western contexts. The Policy Conflict Framework (PCF) was recently developed to help scholars identify, diagnose, and compare policy conflict characteristics. This research uses the PCF to guide a comparative analysis of the nature of policy conflicts in China and the United States. With interview data on policy actors from Chongqing, China and Colorado, USA, we present the findings by comparing the differences and similarities of policy conflicts in the two countries around shale oil and gas development. We conclude with the strengths and limitations of this comparative study of policy conflicts in China and other national contexts, along with recommendations for conducting PCF research in China.     

Gender equality in Swedish AI policies. What's the problem represented to be?

Over the past few decades, Sweden has established itself as a “world leader” in gender equality. Alongside this development, Swedish politicians have also initiated ambitious plans that aim to establish the country as “world class” in terms of digitalization. International research shows that women and racialized groups are in a minority in the design processes, that AI facial recognition systems are built with white male faces as the norm, and that digital tools replicate racial injustices. In this paper, we are interested in if, and if so how, gender equality is articulated and thus filled with meaning in national policies on AI and digitalization. The overall aim is to discuss the potential of gender (equality) mainstreaming to challenge systems of privilege in the implementation of AI systems in the public sector. The paper analyses how gender equality is filled with meaning in national policy documents on AI and gender equality. The main findings show that gender equality is turned into a question of lack of knowledge and information, which in turn blocks out an understanding of gender equality as something that is related to gendered power relations.     

Policy capacity and rise of data-based policy innovation labs

In scarcely a decade, a “labification” phenomenon has taken hold globally. The search for innovative policy solutions for social problems is embedded within scientific experimental-like structures often referred to as policy innovation labs (PILs). With the rapid technological changes (e.g., big data, artificial intelligence), data-based PILs have emerged. Despite the growing importance of these PILs in the policy process, very little is known about them and how they contribute to policy outcomes. This study analyzes 133 data-based PILs and examines their contribution to policy capacity. We adopt policy capacity framework to investigate how data-based PILs contribute to enhancing analytical, organization, and political policy capacity. Many data-based PILs are located in Western Europe and North America, initiated by governments, and employ multi-domain administrative data with advanced technologies. Our analysis finds that data-based PILs enhance analytical and operational policy capacity at the individual, organizational and systemic levels but do little to enhance political capacity. It is this deficit that we suggest possible strategies for data-based PILs.     

Institutional shifts and punctuated patterns in digital policy

While digital policies provide significant value within contemporary governance, not many governments' digital policies are adapted to rapidly changing technologies and associated expectations. The limited adaptability can be explained by governments' focus on institutional shifts as an instrument to generate policy changes. Therefore, this article examines the impact of institutional shifts on digital policy by leveraging the Punctuated Equilibrium Theory (PET) as a lens to explore the Belgian federal government between 2000 and 2020. This is done through performing a distributional application of the PET and an explaining-outcome congruence case study. The results highlight the role of institutional shifts in directing digital policy, but also underscore the importance of other factors (i.e., policy image, attention allocation and/or structure of the political system) and the presence of policy entrepreneurs to explain the (in)stability of digital policy.     

Politics and policy of Artificial Intelligence

While recent discussions about Artificial Intelligence (AI) as one of the most powerful technologies of our times tend to portray it as a predominantly technical issue, it also has major social, political and cultural implications. So far these have been mostly studied from ethical, legal and economic perspectives, while politics and policy have received less attention. To address this gap, this special issue brings together nine research articles to advance the studies of politics and policy of AI by identifying emerging themes and setting out future research agenda. Diverse but complementary contributions in this special issue speak to five overarching themes: understanding the AI as co-shaped by technology and politics; highlighting the role of ideas in AI politics and policy; examining the distribution of power; interrogating the relationship between novel technology and continuity in politics and policy; and exploring interactions among developments at local, national, regional and global levels. This special issue demonstrates that AI policy is not an apolitical field that can be dealt with just by relying on knowledge and expertise but requires an open debate among alternative views, ideas, values and interests.     

Bureaucratic politics,innovation compatibility,and the dynamic diffusion of subnational decentralization reforms in China

Despite the widely recognized significance of policy attributes in explaining innovation diffusion, limited research has emphasized the underlying endogenous mechanisms dictating the construction of innovation attributes. This study points out that bureaucratic politics could dynamically shape an innovation's compatibility with the potential adopters and its diffusion likelihood. Based on the subnational decentralization reforms in China, we note that compared to administrative and fiscal decentralization, political decentralization is less likely to generate personal gains and more likely to negatively affect the career prospects of local officials in a layer-by-layer personnel management system. Therefore, the study speculates that political decentralization reforms have a lower level of compatibility, consequently reducing its diffusion likelihood among local governments. We confirmed our theoretical expectations by conducting an in-depth case study of the top-down diffusion of three types of “Province-Managing-County Reforms” among 102 counties in China's Henan Province (2004–2021).     

Competition and cooperation in artificial intelligence standard setting: Explaining emergent patterns

Efforts to set standards for artificial intelligence (AI) reveal striking patterns: technical experts hailing from geopolitical rivals, such as the United States and China, readily collaborate on technical AI standards within transnational standard-setting organizations, whereas governments are much less willing to collaborate on global ethical AI standards within international organizations. Whether competition or cooperation prevails can be explained by three variables: the actors that make up the membership of the standard-setting organization, the issues on which the organization's standard-setting efforts focus, and the “games” actors play when trying to set standards within a particular type of organization. A preliminary empirical analysis provides support for the contention that actors, issues, and games affect the prospects for cooperation on global AI standards. It matters because shared standards are vital for achieving truly global frameworks for the governance of AI. Such global frameworks, in turn, lower transaction costs and the probability that the world will witness the emergence of AI systems that threaten human rights and fundamental freedoms.     

Framing Deservingness to Win Support for Welfare State Retrenchment

Recent studies of welfare state retrenchment have argued that policy makers can win public support for welfare state reform by framing the issue in terms of deservingness of welfare recipients. However, this literature has not tested the argument at the individual level. Using a Scandinavian context, this experimental study investigates how alternative framing of a welfare state retrenchment proposal affects citizens' perception of welfare recipients' deservingness, policy support and whether perceptions of deservingness mediate policy opinion. A news story was manipulated to present welfare recipients as either deserving or undeserving of welfare benefits. This issue framing affected citizens' perception of deservingness as well as support for retrenchment policy. Opinion change was partly explained by differences in perceptions of deservingness. These results provide strong support for the effectiveness of the deservingness frame.     

Contagious COVID-19 policies: Policy diffusion during times of crisis

The COVID-19 crisis demanded rapid, widespread policy action. In response, nations turned to different forms of social distancing policies to reduce the spread of the virus. These policies were implemented globally, proving as contagious as the virus they are meant to prevent. Yet, variation in their implementation invites questions as to how and why countries adopt social distancing policies, and whether the causal mechanisms driving these policy adoptions are based on internal resources and problem conditions or other external factors such as conditions in other countries. We leverage daily changes in international social distancing policies to understand the impacts of problem characteristics, institutional and economic context, and peer effects on social distancing policy adoption. Using fixed-effects models on an international panel of daily data from 2020, we find that peer effects, particularly mimicry of geographic neighbors, political peers, and language agnates drive policy diffusion and shape countries' policy choices.     

Emphasis Framing and the Role of Perceived Knowledge: A Survey Experiment

The relationship between emphasis framing and public opinion has received considerable attention in political science, psychology, and mass communication studies. However, what moderating role perceived knowledge plays in influencing emphasis framing remains unsettled. We explore this relationship using a survey‐experiment embedded within a large‐N, nationally representative survey that allows us to test two specific hypotheses. First, we empirically test whether an emphasis frame influences policy support. Second, we test the moderating effect of perceived knowledge. We test the emphasis framing effects of the name given to a “hot‐button” political issue, while controlling for other survey treatments. Furthermore, we evaluate the degree to which perceived knowledge of the issue moderates the relationship between the emphasis frame and support for hydraulic fracturing. We find support both for the role emphasis framing plays and for perceived knowledge as a moderator.     

Between morality and rationality: framing end-of-life care policy through narratives

This paper analyzes the nature of the debate generated prior to the implementation of the Act Respecting End-of-Life Care in 2015 in Québec (Canada). Including medical assistance in dying (MAID) along existing palliative care services, the act is an important policy change on a very sensitive issue. As such, MAID could be categorized as a morality policy issue, the latter being defined as a particular category of policy because of its specific features (issues of first principle, technical simplicity, high salience, public interest, and public participation). In line with Mucciaroni’s proposition, we rather analyze this issue by understanding morality policy as one of two framing strategies (moral and/or rational-instrumental frame). Our research reconstructs four public opinion framings as advanced and transmitted through the media between 2005 and 2015. It shows that although opponents to the bill unsurprisingly framed the debate in deontological terms, mostly referring to sanctity of life as one of the most important values in society, they also framed it on rational-instrumental grounds in a similar proportion, alleging the danger of a slippery slope and potential abuse. As well, if some of the proponents favored a moral framing centered on the argument that dignity and individual autonomy take precedence over all other values, others put forward a rational-instrumental one, where the slippery slope/abuse argument is used as a cautionary statement against the artificial prolongation of life. Our analysis reinforces Mucciaroni’s and Ferraiolo’s assertions that sensitive issues classified as morality policy cannot be apprehended solely through the unidimensional frame of morality.     

Traveling frames: How corporate and civil society actors try to influence public administration and courts in a case on nuclear emission data in Switzerland

This paper focuses on the framing strategies lobbyists apply to influence public policy in a case on nuclear emission data in Switzerland. Framing analysis is at the heart of communication science and has been applied in lobbying settings, but framing theory has not yet been fine‐tuned to the specificities of public affairs research. This qualitative case study gives insights into the dominant frames seven actors ranging from corporations to nongovernmental organizations to public institutions employ to defend a legal court case in the nuclear power industry. The results of the document analysis and the interviews show that frames travel among diverse actors and only some are picked up by the courts, at times stating a position opposite to the one initially intended by the frame sponsor. A public affairs‐specific integrated process model of framing is presented that views the media in the role of a moderator in the framing process and pronounces the lobbying organizations' strategic goals, the different stakeholders as target audiences, and the outcomes of the public affairs process.     

Conforming to the Dominant Discourse: Framing Distance and Multiparty Competition

This study introduces a measure of framing distance, capturing the degree of frame overlap among parties. Additionally, it provides a causal mechanism explaining differences between parties in framing distance. Parties within PR systems have to take coalition considerations in their stride, and therefore mainstream opposition parties, which have previously governed, are unlikely to adopt large framing distances. Alternatively, challenger parties, those that have never governed, are likely to frame important issues differently. Nonetheless, challengers are expected to reduce their framing distance when performing well in election polls. Electoral success acts as a trigger for these parties to reconsider their goals (policy, office, or votes) and to become more office-seeking. These theoretical propositions are confirmed on the basis of the European integration issue, using a mixed methods approach. Pooled time-series regressions on party manifestos issued by 21 parties between 1987 and 2006 in three political systems (Germany, Netherlands, and UK) are complemented with case study analysis.     

Framing Labels and Immigration Policy Attitudes in the Iowa Caucuses: “Trying to Out-Tancredo Tancredo”

We use an experiment built into a series of surveys of Iowa voters during the 2008 Iowa Caucus campaign to test the effect of differing group framing labels on immigration policy preferences. We find that certain framing labels matter, but only among Republican partisans for whom the immigration issue is important. We also find that issue importance produces more conservative policy preferences for Democrats as well as Republicans. We examine and discuss these results as well as their implications for the immigration debate, the interaction between issue salience and policy preferences, and the theory of political framing in general.     

Public opinion for sale: The role of policy marketers in Greater Yellowstone policy conflict

This article develops a macro-level theory of framing to explain the intractable or ‘icked’ nature of environmental policy. Using conflict in the Greater Yellowstone Area (GYA) as a case study, we review how proposed solutions – technical, scientific, and economic – and cultural issues often lead to inadequate policy solutions. We then propose that interest groups, the media, and elected officials do not act solely as linkage mechanisms, but, rather, as policy marketers who market public opinion to citizens. The macro-level trends of a marketing culture in tandem with the rise of consumerism are explored in the context of GYA politics. Finally, we describe how our proposed macro-level theory of framing points to a rich research agenda for empirically testing questions about issue framing, policy marketers, and public opinion formation in environmental policy conflict.     

Policy learning and change during crisis: COVID-19 policy responses across six states

Whereas policy change is often characterized as a gradual and incremental process, effective crisis response necessitates that organizations adapt to evolving problems in near real time. Nowhere is this dynamic more evident than in the case of COVID-19, which forced subnational governments to constantly adjust and recalibrate public health and disease mitigation measures in the face of changing patterns of viral transmission and the emergence of new information. This study assesses (a) the extent to which subnational policies changed over the course of the pandemic; (b) whether these changes are emblematic of policy learning; and (c) the drivers of these changes, namely changing political and public health conditions. Using a novel dataset analyzing each policy's content, including its timing of enactment, substantive focus, stringency, and similar variables, results indicate the pandemic response varied significantly across states. The states examined were responsive to both changing public health and political conditions. This study identifies patterns of preemptive policy learning, which denotes learning in anticipation of an emerging hazard. In doing so, the study provides important insights into the dynamics of policy learning and change during disaster.     

Towards a Real Sustainable Agri‐food Security and Food Policy: Beyond the Ecological Fallacies?

The recent rises in food prices represent the ‘tip of the iceberg’ and a ‘canary in the mine’ moment for world agriculture. They are underlain by a continuing ‘race to the bottom’ and speculative process whereby systems of resource production and exploitation are continuing to rely upon ‘infinite supply’ assumptions and narrow technological solutions to ‘feeding the world’. I argue here that these conditions are leading to a dominant policy framing that tends to marginalise diverse and place‐based agro‐ecological systems by creating a new legitimacy for bio‐economic rather than eco‐economic solutions. Government and policy‐making bodies need to redefine and widen their approaches to agriculture and agri‐food in ways that recognise its social, cultural, political and spatially diverse contribution in a post‐carbon world.