Explainable artificial intelligence in forensics

Explainable artificial intelligence for digital forensics - Hall - 2022

This opinion letter will discuss both practical and novel ideas as well as controversial points for leveraging XAI to improve the efficacy of digital forensic ...

Explainable artificial intelligence in forensics: Realistic explanations ...

We present explanations that can be used for number of contributors predictions. The explanations visualize SHAP values and counterfactual examples.

A Proof of Concept Implementation of Explainable Artificial ...

This research first examines the concept of XAI and what it could accomplish in the Digital Forensics field.

Explainable artificial intelligence in forensics: Realistic explanations ...

Machine learning obtains good accuracy in determining the number of contributors (NOC) in short tandem repeat (STR) mixture DNA profiles.

Explainable Digital Forensics AI: Towards Mitigating Distrust in AI ...

Abstract. The present level of skepticism expressed by courts, legal practitioners, and the general public over Artificial Intelligence (AI) based digital ...

XAI-CF -- Examining the Role of Explainable Artificial Intelligence in ...

To apply these techniques successfully in CF, we need to justify and explain the results to the stakeholders of CF, such as forensic analysts ...

Interpretable algorithmic forensics - PNAS

The less desirable type of approach, “explainable AI,” develops black box models from data (either nontransparent or too complex to be ...

SIFT: Sifting file types—application of explainable artificial ...

Artificial Intelligence (AI) is being applied to improve the efficiency of software systems used in various domains, especially in the ...

The Role of AI in Forensics | Marymount University

AI technology is revolutionizing the process of collecting and analyzing evidence, giving forensic scientists both the time and ability to better interpret the ...

Explainable artificial intelligence for digital forensics - Hall

Abstract. EXplainable artificial intelligence (XAI) is an emerging research area relating to the creation of machine learning algorithms from ...

XAI-CF – Examining the Role of Explainable Artificial Intelligence in ...

Explanation – A system is explainable if its outcome can be reasoned logically, intelligently, and methodically. Every AI system in practice has a different way ...

(PDF) XAI-CF -Examining the Role of Explainable Artificial ...

Some other factors in accepting the use of AI in CF are to make AI authentic, interpretable, understandable, and interactive. This way, AI ...

Interpretable algorithmic forensics - PubMed

... forensic AI. Keywords: AI; algorithms; explainability; glass box; interpretability. MeSH terms. Algorithms; Artificial Intelligence*; Criminals ...

Explainable artificial intelligence for digital forensics - EBSCO

Explainable artificial intelligence for digital forensics · Hall, Stuart W.; Sakzad, Amin; Choo, Kim‐Kwang Raymond · EXplainable artificial intelligence (XAI) is ...

Explainable AI: Building Confidence and Compliance

The move towards explainable AI, i.e. AI applications that users can understand and therefore trust, can address the confidence gap that might ...

[PDF] Explainable Artificial Intelligence for Digital Forensics

This book chapter investigates the opportunities and challenges of developing interactive and eXplainable Artificial Intelligence (XAI) systems to support ...

Explainable Artificial Intelligence for Digital Forensics - IntechOpen

This book chapter investigates the opportunities and challenges of developing interactive and eXplainable Artificial Intelligence (XAI) systems to support ...

What is Forensic AI? Automation in Digital Forensics

AI algorithms can sift through massive datasets quickly, flagging potentially relevant information for follow-up. Machine learning models can be ...

Explainable Artificial Intelligence in CyberSecurity: A Survey

Abstract: Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily life. Despite the AI benefits, ...

Interpretability and Transparency of Machine Learning in File ... - MDPI

In addition, XAI techniques aid in developing more robust and reliable machine learning models. Using explainable AI techniques, we can gain insights into the ...