Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 704.25 MB | Duration: 1h 0m

Revolutionising C-Solving Techniques

What you'll learn

Understand the basics of AI and its applications in investigations

Apply AI techniques for predictive policing and c forecasting

Evaluate ethical considerations and limitations of AI in investigations

Understand the impact of AI on the criminal justice system

Understand the future of AI in investigations and its impact on law enforcement.

Requirements

For the AI in Investigations course, there are no specific prerequisites, but it is important for students to have an open and inquisitive mindset. A willingness to learn about new technologies and their applications in investigations will greatly enhance their experience in the course. Additionally, having a basic understanding of computer science concepts and a curiosity about artificial intelligence and its potential to support investigations is recommended.

Description

Welcome to Unlocking the Power of AI in Investigations: Revolutionizing C-Solving Techniques, a course that will give you a comprehensive understanding of how AI is revolutionizing the field of investigations. This course is designed for professionals in the criminal justice system, law enforcement agencies, and investigators who are interested in understanding the current trends and future possibilities of AI in investigations.Throughout the course, you will learn about the role of AI in modern-day investigations, including the impact of AI on the criminal justice system. You will also explore AI-assisted data analysis and visualization techniques, including AI-assisted search and information retrieval, image and video analysis, facial recognition, and forensic analysis.In the next section, you will delve into AI for online and social media investigations, including tracking and identifying online criminal activity, identifying and tracking extremist content, and analysing and tracking dark web activities. You will also learn about AI for predictive policing and c forecasting, including AI-assisted decision-making and case prioritization, identifying and tracking criminal organizations and patterns of c.The course will also cover the ethical considerations and limitations of AI in investigations, including ensuring bias-free AI, the impact of AI on privacy and civil liberties, and the legal implications of using AI in investigations.By the end of this course, you will have a thorough understanding of the current state and future possibilities of AI in investigations and be equipped with the tools to incorporate AI into your investigations. The course concludes with a discussion on the future of AI in investigations, best practices for using AI, and the challenges and opportunities that lie ahead. Join us on this exciting journey as we explore the cutting-edge technology of AI in investigations.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Overview of AI in investigations

Lecture 3 Current trends and future possibilities in AI for investigations

Lecture 4 The role of AI in modern-day investigations

Lecture 5 The impact of AI on the criminal justice system

Section 2: AI for Data Analysis and Visualization

Lecture 6 AI for Data Analysis and Visualization

Lecture 7 Ai-Assisted Search And Information Retrieval

Lecture 8 Ai For Image And Video Analysis

Lecture 9 Ai For Facial Recognition In Investigations

Section 3: AI for Online and Social Media Investigations

Lecture 10 AI for Online and Social Media Investigations

Lecture 11 Ai For Tracking And Identifying Online Criminal Activity

Lecture 12 Ai For Identifying And Tracking Extremist Content Online

Lecture 13 Ai For Identifying And Tracking Cyberc

Lecture 14 Ai For Analysing And Tracking Darkweb Activities

Section 4: AI for Predictive Policing and C Forecasting

Lecture 15 AI for Predictive Policing and C Forecasting

Section 5: Ethical Considerations and Limitations

Lecture 16 Ethical Considerations and Limitations

Section 6: Conclusion

Lecture 17 Conclusion

Investigators, analysts or anyone interested in the field of investigations or AI

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