Artificial Intelligence & Child Abuse Investigations
Abuse investigations involving children are complex and challenging.
In this course you will gain an understanding of:
Fundamentals of Machine Learning & Artificial Intelligence: Understand the basic concepts and terminology of AI and machine learning, and the relevance of this emerging technology to law enforcement.
Investigation Methods & Artificial Intelligence: Explore AI's potential for enhancing and streamlining various aspects of child abuse investigations, with considerations for data analysis, open-source intelligence, case workflow, pattern recognition, and undercover considerations.
Prompt Engineering: Learn how to effectively interact with and guide AI models through carefully crafted prompts to maximize efficiency and AI outputs.
Synthetic Media Creation: Understand and utilize the techniques and common tools used to generate various types of synthetic media, including audio, visual, and video content.
Deepfakes & Sextortion: Examine the prevalence and specific challenges posed by deepfakes and sextortion, and how investigators can address these issues.
AI-Generated CSAM: Discuss the emergence of AI-generated child sexual abuse material (CSAM) and its implications for investigations and prosecutions, including initial trends and law enforcement countermeasures.
Evidence Authentication: Learn how to assess the authenticity and integrity of digital evidence in the age of AI, ensuring its admissibility in court.
Courtroom Testimony: Prepare to effectively present and explain AI-related evidence and techniques in court, while addressing potential challenges and misconceptions.
Legal Frameworks: Navigate the complex legal landscape surrounding the use of AI in criminal contexts, including prosecutorial strategy and charging decisions.
…and more
