Artificial Intelligence & Child Abuse Investigations
Artificial intelligence has reshaped how offenders operate.
This course equips investigators to recognize AI in their cases, and understand what its rise means for the future of child exploitation investigations.
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.
