Search Results for author: Scott McLachlan

Found 6 papers, 0 papers with code

The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law

no code implementations6 Feb 2022 Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton, Burkhard Schafer

Artificial intelligence (AI) features are increasingly being embedded in cars and are central to the operation of self-driving cars (SDC).

Self-Driving Cars

Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety

no code implementations7 Sep 2021 Scott McLachlan, Martin Neil, Kudakwashe Dube, Ronny Bogani, Norman Fenton, Burkhard Schaffer

We strongly believe these tools to be approachable by programmers and the general public, and capable of use in developing Artificial Intelligence to underpin motor vehicle smart systems, and in validation to ensure these systems are considerate of the law when making decisions.

Autonomous Driving

A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future

no code implementations20 Feb 2020 Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman Fenton

No comprehensive review of Bayesian networks (BNs) in healthcare has been published in the past, making it difficult to organize the research contributions in the present and identify challenges and neglected areas that need to be addressed in the future.

Bayesian Networks in Healthcare: Distribution by Medical Condition

no code implementations1 Feb 2020 Scott McLachlan, Kudakwashe Dube, Graham A Hitman, Norman E Fenton, Evangelia Kyrimi

Bayesian networks (BNs) have received increasing research attention that is not matched by adoption in practice and yet have potential to significantly benefit healthcare.

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