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09/07/2022
A hybrid Bayesian network for medical device risk assessment and management
ISO 14971 is the primary standard used for medical device risk managemen...
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06/05/2022
Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment
Idioms are small, reusable Bayesian network (BN) fragments that represen...
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04/04/2022
The Chaotic State of UK Drone Regulation
In December 2020 the law for drone pilots and unmanned aerial vehicle (U...
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02/06/2022
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law
Artificial intelligence (AI) features are increasingly being embedded in...
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09/07/2021
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety
Driving is an intuitive task that requires skills, constant alertness an...
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06/09/2021
Calculating the Likelihood Ratio for Multiple Pieces of Evidence
When presenting forensic evidence, such as a DNA match, experts often us...
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01/25/2021
How do some Bayesian Network machine learned graphs compare to causal knowledge?
The graph of a Bayesian Network (BN) can be machine learned, determined ...
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11/01/2020
Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process
Modelling that exploits visual elements and information visualisation ar...
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10/09/2020
Product risk assessment: a Bayesian network approach
Product risk assessment is the overall process of determining whether a ...
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09/18/2020
On the limitations of probabilistic claims about the probative value of mixed DNA profile evidence
The likelihood ratio (LR) is a commonly used measure for determining the...
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07/16/2020
The role of collider bias in understanding statistics on racially biased policing
Contradictory conclusions have been made about whether unarmed blacks ar...
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07/01/2020
Medical idioms for clinical Bayesian network development
Bayesian Networks (BNs) are graphical probabilistic models that have pro...
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05/18/2020
A note on 'Collider bias undermines our understanding of COVID-19 disease risk and severity' and how causal Bayesian networks both expose and resolve the problem
An important recent preprint by Griffiths et al highlights how 'collider...
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02/20/2020
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
No comprehensive review of Bayesian networks (BNs) in healthcare has bee...
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02/01/2020
Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden
Several countries are currently investigating issues of neglect, poor qu...
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12/03/2019
Simpson's Paradox and the implications for medical trials
This paper describes Simpson's paradox, and explains its serious implica...
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03/07/2019
Modelling Competing Legal Arguments using Bayesian Model Comparison and Averaging
Bayesian models of legal arguments generally aim to produce a single int...
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02/05/2016