INTRODUCTION
In digital criminal investigations, Faqir’s (2023) study reviews how artificial intelligence has been used in the industry. The discussion will focus on how the topic relates to social science values, define research questions and hypotheses, describe research designs used, explain types of data and analysis analyzed, determine intersections of concepts from PowerPoint presentations on marginalized groups’ implications and society contributions created by the study.
SOCIAL SCIENCES PRINCIPLES
The study unpacks the manifold changes surrounding investigating crime and criminality in ‘digital times,’ reflecting critical tenets of the social sciences. The close examination of how AI technologies have affected law enforcers, the detection of crime, and the judicial system reveals the interdependent relationship between societal mores, progress, and legal principles. This discovery rests on the underlying principles of social sciences that revolve around human behaviors, society, and all-around dynamics of coping with the fast-changing environments as driven by technological inventions and legislative frameworks.
RESEARCH QUESTIONS OR HYPOTHESES
The study aims to reveal the multi-layered character of AI in digital criminal investigations, exploring its implementations, challenges, and implications shaping legal realities (Faqir, 2023). It attempts to provide some notable answers to the questions related to AI algorithm efficiency in doing real-life daily tasks such as fact extraction, suspect identification, and criminal prediction. This study will also subject these factors to interrogation by reflecting on the different aspects and consequences of the 183 issues associated with introducing AI technologies into law enforcement and criminal justice (Faqir, 2023).
RESEARCH METHODS
The research focuses on a qualitative approach by gathering information from literature reviews, experts’ opinions, and case studies that make a trend of AI integration to digital criminal investigations globally (Faqir, 2023). The research aims to develop an in-depth and comprehensive understanding and view of the topic from content analysis, literature review, and expert interviews, among others. Through such a qualitative research method, it is possible to analyze the details of artificial intelligence and various law enforcement officers’ perspectives on
AI analysis regarding digital crime detection and investigations.
TYPES OF DATA AND ANALYSIS
The data in discussions of the above-related themes come from diverse sources, including journal articles, court judgments, case studies, and expert reports. Other analytical tools used are thematic analysis, comparative analysis, and synthesis. The subject of this study is the integration of AI applications in digital investigations to enable qualitative and quantitative data harmonization for in-depth insights into outcomes. The integrated approach allows us to conduct a less overt exploration of the social reality under examination, the complexities that emerge at the border between AI and criminal justice.
INTERSECTION WITH POWERPOINT CONCEPTS
The criminal justice study focuses on the PowerPoint presentation’s critical concepts and reveals the paramount function of AI, machine learning, and deep learning. It touches upon the discussions concerning data analytics regarding surveillance tech and ethics caused by AI implementation in law enforcers. The study touches upon such themes, presenting how the delicate balance between technology ethics and justice in modern criminal investigations is threaded by the research, adhering to concepts outlined in the PowerPoint slides.
IMPLICATIONS FOR MARGINALIZED GROUPS
The employment of AI in the realm of digital investigations carries enormous implications for groups who are marginalized, foremost concerning violations of their sense of privacy, algorithmic bias, and lack of access to justice. Concerningice data protection and control of algorithms must be evaluated, in detail to take appropriate steps before possible harm is done and fair treatment in the criminal system is ensured. With the growing adoption of AI technologies, these concerns must be addressed for persons within the system of principles of justice and protection of the rights of marginalized groups.
CONTRIBUTIONS TO SOCIETY
By advancing knowledge on the positive influence of AI implementation in digital criminal investigations, including digital forensics, efficiency improvement, and policy and practice in law enforcement, this study contributes to society. It enhances discussion of ethical, legal, and societal implications, providing a guide for the responsible deployment of AI in criminal justice systems.
CONCLUSION
In conclusion, Faqir’s work provides significant insights into the complex interplay between AI and the digital investigation of crime. It highlights the importance of ethical implementation of AI, equality in justice availability, and the need for a multi-disciplinary approach to the modern challenges in law enforcement and crime prevention.
REFERENCES
Faqir, R. S. A. (2023). Digital Criminal Investigations in the Era of Artificial Intelligence: A Comprehensive Overview. International Journal of Cyber Criminology, 17(2), 77–94.