Purvi Pokhariyal – författare

Forensic science is playing an increasingly important role in criminal investigations, as it provides scientific methods and techniques to gather and analyse evidence from crime scenes. Forensic evidence can be crucial in identifying suspects, linking them to the crime scene, and helping to secure convictions in court. In this sense, forensic science is seen as an aid to criminal investigation, providing reliable and objective evidence that can be used to uncover the truth behind criminal activities.

The integration of forensic science with law and criminology is creating a new era of progressive thinking, where advanced techniques are being developed to better understand the nature of crime and the behaviour of criminals. With the help of forensic science, investigators can obtain speedy justice and bring criminals to book. However, this requires appropriate measures to be taken for the efficient execution of forensic investigations, including the use of modern technology and the training of professionals in the latest forensic techniques.

Given the importance of forensic science in the criminal justice system, it is essential to have a comprehensive understanding of its different aspects. This includes the collection, preservation, and analysis of forensic evidence, as well as the interpretation of this evidence in the context of criminal investigations.

This book covers these topics in detail, providing valuable insights for professionals, practitioners, academics, and students of the related fields.

Forensic science is playing an increasingly important role in criminal investigations, as it provides scientific methods and techniques to gather and analyse evidence from crime scenes. Forensic evidence can be crucial in identifying suspects, linking them to the crime scene, and helping to secure convictions in court. In this sense, forensic science is seen as an aid to criminal investigation, providing reliable and objective evidence that can be used to uncover the truth behind criminal activities.

The integration of forensic science with law and criminology is creating a new era of progressive thinking, where advanced techniques are being developed to better understand the nature of crime and the behaviour of criminals. With the help of forensic science, investigators can obtain speedy justice and bring criminals to book. However, this requires appropriate measures to be taken for the efficient execution of forensic investigations, including the use of modern technology and the training of professionals in the latest forensic techniques.

Given the importance of forensic science in the criminal justice system, it is essential to have a comprehensive understanding of its different aspects. This includes the collection, preservation, and analysis of forensic evidence, as well as the interpretation of this evidence in the context of criminal investigations.

This book covers these topics in detail, providing valuable insights for professionals, practitioners, academics, and students of the related fields.

In the past decade, artificial intelligence (AI) has made significant advancements in various sectors of society, such as education, health, e-commerce, media and entertainment, banking and finance, transportation, and defense, among others. Its application has permeated every sector, leaving no area untouched. However, the utilization of AI brings forth crucial legal, ethical, and technical concerns and obstacles that must be appropriately addressed through thoughtful deliberation, discussions, and the implementation of effective regulations.

AI and Emerging Technologies: Automated Decision-Making, Digital Forensics, and Ethical Considerations provides a comprehensive and insightful roadmap for exploring the advancements, challenges, solutions, and implications of AI in three key areas: the legal field, digital forensic, and decision-making. By delving into these topics, this book offers a deep understanding of how AI can be optimally utilized to deliver maximum benefits to users, all within a single comprehensive source. One of the focuses of this book is to shed light on the preictal application of emerging technologies in automated decision-making while also addressing the ethical considerations that arise from their use. By examining the integration of these technologies into digital forensics and their impact on other domains, such as gaming applications deepfake, this book presents valuable insights into the broader implications of AI.

The book serves as an invaluable resource for anyone seeking to understand and navigate the complex world of AI. By offering a comprehensive exploration of its applications, ethical considerations, and data protection techniques, it provides researchers and scholars, graduate students, software engineers, along with data scientists the necessary insights to harness the full potential of AI while ensuring its responsible and ethical use.

In the past decade, artificial intelligence (AI) has made significant advancements in various sectors of society, such as education, health, e-commerce, media and entertainment, banking and finance, transportation, and defense, among others. Its application has permeated every sector, leaving no area untouched. However, the utilization of AI brings forth crucial legal, ethical, and technical concerns and obstacles that must be appropriately addressed through thoughtful deliberation, discussions, and the implementation of effective regulations.

AI and Emerging Technologies: Automated Decision-Making, Digital Forensics, and Ethical Considerations provides a comprehensive and insightful roadmap for exploring the advancements, challenges, solutions, and implications of AI in three key areas: the legal field, digital forensic, and decision-making. By delving into these topics, this book offers a deep understanding of how AI can be optimally utilized to deliver maximum benefits to users, all within a single comprehensive source. One of the focuses of this book is to shed light on the preictal application of emerging technologies in automated decision-making while also addressing the ethical considerations that arise from their use. By examining the integration of these technologies into digital forensics and their impact on other domains, such as gaming applications deepfake, this book presents valuable insights into the broader implications of AI.

The book serves as an invaluable resource for anyone seeking to understand and navigate the complex world of AI. By offering a comprehensive exploration of its applications, ethical considerations, and data protection techniques, it provides researchers and scholars, graduate students, software engineers, along with data scientists the necessary insights to harness the full potential of AI while ensuring its responsible and ethical use.

This book extensively explores the implementation of AI in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability.

The applications of the financial industry incorporate vast volumes of structured and unstructured data to gain insight into the financial and non-financial performance of companies. As a result of exponentially increasing data, auditors and management professionals need to enhance processing capabilities while maintaining the effectiveness and reliability of the risk mitigation process. The risk mitigation and audit procedures are processes involving the progression of activities to “transform inputs into output.” As AI systems continue to grow mainstream, it is difficult to imagine an aspect of risk mitigation in the financial industry that will not require AI-related assurance or AI-assisted advisory services. AI can be used as a strong tool in many ways, like the prevention of fraud, money laundering, and cybercrime, detection of risks and probability of NPAs at early stages, sound lending, etc.

Audience

This is an introductory book that provides insights into the advantages of risk mitigation by the adoption of AI in the financial industry. The subject is not only restricted to individuals like researchers, auditors, and management professionals, but also includes decision-making authorities like the government. This book is a valuable guide to the utilization of AI for risk mitigation and will serve as an important standalone reference for years to come.