Fiat Iustitia. An Investigation of the Acceptance of Artificial Intelligence in Jurisprudence

Table of Contents

• List of Figures
• List of Tables
• List of Abbreviations
• 1. Introduction
• 2. Introduction to Artificial Intelligence
  • 2.1 Historical Development
  • 2.2 Comparing Intelligence Level with Human Intelligence
  • 2.3 Computational Learning
• 3. Automation in the Legal Field
  • 3.1 Historical Background
    • 3.1.1 Legal Tech - A new idea
    • 3.1.2 Starting signal for a new era
  • 3.2 Why Legal Tech
    • 3.2.1 Acceleration
    • 3.2.2 Faultless
    • 3.2.3 Simplification
    • 3.2.4 Access to legal protection
    • 3.2.5 Objectivity of decision-making and transparency
• 4. Acceptance theory
  • 4.1 Research
  • 4.2 Expression
  • 4.3 Technology Acceptance Model
    • 4.3.1 The development of the Technology Acceptance Model
    • 4.3.2 Technology Acceptance Model 3
  • 4.4 Psychological Acceptance
    • 4.4.1 Interpersonal Acceptance- Rejection Theory
    • 4.4.2 Anthropomorphism
    • 4.4.3 Dual Process Theory of Cognition
  • 4.5 Why Lawyers Are Not Very Accepting of Artificial Intelligence
    • 4.5.1 Personality of lawyers
• 5. Nudge Theory
  • 5.1 Economic fundamentals
    • 5.1.1 The economic model of human behavior
    • 5.1.2 Behavioral economics
  • 5.2 Libertarian Theory Paternalism
    • 5.2.1 Decision architecture
    • 5.2.2 Libertarian Paternalism
  • 5.3 Nudging
    • 5.3.1 Digital Nudging
    • 5.3.2 Nudging mechanisms
    • 5.3.3 Opportunities and risks of nudging
• 6. Empirical Survey
  • 6.1 Methodology
    • 6.1.1 Evaluation of various legal court rulings
    • 6.1.2 Feedback on possible bias
    • 6.1.3 TAM Questionnaire
  • 6.2 Results
    • 6.2.1 Dummy: Coding
    • 6.2.2 Control through TAM control variables
  • 6.3 Discussion
    • 6.3.1 When artificial intelligence support is not obvious
    • 6.3.2 Obviousness
  • 6.4 Descriptive Statistics
    • 6.4.1 Assessing a court decision with AI support by gender
    • 6.4.2 Support for AI by age group
• 7. Conclusion
• Appendix
• Bibliography

Objective & Thematic Foci

This thesis aims to investigate whether the perspective of lawyers and legal professionals towards Artificial Intelligence (AI) can be influenced by targeted incentives. It explores how the strategic demonstration of AI's positive characteristics can overcome initial skepticism within the conservative legal world and promote its acceptance for enhancing efficiency and precision in legal practice.

• Acceptance of Artificial Intelligence in the Legal Field
• The Role of Legal Technology (Legal Tech)
• Application and Development of the Technology Acceptance Model (TAM)
• Influence of Nudge Theory on User Behavior and AI Adoption
• Empirical Analysis of Attitudes and Perceptions among Legal Professionals
• Addressing Skepticism and Ethical Concerns regarding AI in Jurisprudence

Excerpt from the Book

Chapter Summaries

1. Introduction: This chapter introduces the increasing integration of Artificial Intelligence (AI) into the legal sector, highlights the existing skepticism among legal professionals, and outlines the thesis's objective to explore factors influencing AI acceptance using acceptance and nudge theories.

2. Introduction to Artificial Intelligence: This section defines AI, traces its historical evolution, differentiates between varying levels of intelligence compared to human intelligence, and explains the concept of computational learning including its different forms.

3. Automation in the Legal Field: This chapter delves into the historical background of Legal Tech, exploring its definition and the challenges of its early implementation. It further elaborates on the benefits of Legal Tech, such as accelerating processes, reducing errors, simplifying procedures, enhancing access to legal protection, and improving objectivity and transparency in decision-making.

4. Acceptance theory: This chapter provides an in-depth analysis of factors influencing the acceptance of new technologies, detailing the Technology Acceptance Model (TAM) and its extensions. It also covers psychological acceptance theories and examines specific reasons for lawyers' low acceptance of AI, including their personality traits.

5. Nudge Theory: This chapter explains the economic fundamentals and behavioral economics underlying nudge theory. It describes how nudges can be used to influence decision-making towards greater AI acceptance in the legal sector through subtle environmental design without limiting freedom of choice, also discussing opportunities and risks of nudging.

6. Empirical Survey: This chapter details the methodology of an empirical survey conducted to understand AI acceptance among legal professionals. It presents the results regarding the evaluation of court rulings with and without AI support, analyzing the impact of feedback, TAM control variables, and descriptive statistics related to gender and age.

7. Conclusion: This chapter summarizes the research findings, confirming that perceived usefulness, enjoyment, and job relevance are strong motivators for AI acceptance among legal professionals. It emphasizes the importance of targeted nudges for fostering a better understanding of AI and suggests future research directions, particularly concerning the long-term effects of nudges and ethical considerations like liability.

Keywords

Artificial Intelligence, AI Acceptance, Legal Tech, Jurisprudence, Nudge Theory, Technology Acceptance Model (TAM), Behavioral Economics, Decision-making, Lawyers, Legal Professionals, Automation, Empirical Survey, User Behavior, Human-Machine Interaction.

Frequently Asked Questions

What is this work fundamentally about?

This work fundamentally investigates the acceptance of Artificial Intelligence (AI) among lawyers and legal professionals within the legal field, exploring how targeted incentives and awareness of AI's benefits can influence their attitudes and integration of AI systems.

What are the central thematic areas?

The central thematic areas include the introduction to AI and Legal Tech, the Automation of legal processes, Acceptance Theory (specifically the Technology Acceptance Model), Nudge Theory as a mechanism to influence behavior, and an Empirical Survey to gather data on AI acceptance in jurisprudence.

What is the primary goal or research question?

The primary goal is to determine if the perception of lawyers and legal professionals towards AI can be positively influenced by highlighting its beneficial characteristics and whether targeted incentives can overcome initial skepticism in the legal world.

Which scientific method is used?

The research employs a quantitative online survey as its primary scientific method to collect data on the behavior and attitudes of lawyers and legal professionals, followed by statistical analysis, including multiple regression with dummy and control variables.

What is covered in the main part?

The main part of the thesis covers a detailed introduction to AI, its application and historical context in the legal field (Legal Tech), an extensive discussion of Acceptance Theory (TAM), an analysis of Nudge Theory, and the methodology, results, and discussion of the empirical survey conducted.

Which keywords characterize the work?

The work is characterized by keywords such as Artificial Intelligence, AI Acceptance, Legal Tech, Jurisprudence, Nudge Theory, Technology Acceptance Model (TAM), Behavioral Economics, and Automation.

Why do lawyers show low acceptance of Artificial Intelligence, and how does this study address it?

Lawyers often exhibit low acceptance due to factors like their personality traits (ego drive, autonomy, skepticism), and fears of job displacement or compromised legal integrity. This study addresses this by applying Acceptance Theory and Nudge Theory to explore whether positive demonstrations of AI's benefits can shift these attitudes.

How does "Nudge Theory" specifically apply to increasing AI acceptance in the legal field?

Nudge Theory is applied by designing environments and presenting information in a way that subtly encourages lawyers to view AI more positively, for example, by demonstrating how AI can simplify daily tasks, improve efficiency, or provide clear benefits, without restricting their freedom of choice.

What role does "Technology Affinity" play in the acceptance of AI systems among legal professionals?

Technology affinity significantly influences AI acceptance; individuals with a higher affinity for technology tend to adopt new technologies more readily. Interestingly, the study found that less tech-savvy individuals also rated AI-supported judgments as more appropriate, likely because they perceived AI as making work easier without requiring extensive technical knowledge.

What ethical concerns related to AI in jurisprudence are discussed in the thesis?

The thesis discusses ethical concerns such as liability for incorrect AI decisions, potential for discrimination if algorithms are biased, and the risk of undermining human values like justice and rightness. It also touches upon the challenge of keeping regulations in pace with rapid technological advancements.