Framework for Trustworthy Software Development
Intelligent software applications are becoming ubiquitous and pervasive affecting various aspects of our lives and livelihoods. At the same time, the risks to which these systems expose the organizations and end users are growing dramatically. Trustworthiness of software applications is becoming a paramount necessity. Trust is to be regarded as a first-class citizen in the total product life cycle and should be addressed across all stages of software development. Trust can be looked at from two facets: one at an algorithmic level (e.g., bias-free, discrimination-aware, explainable and interpretable techniques) and the other at a process level by making development processes more transparent, auditable, and adhering to regulations and best practices. In this paper, we address the latter and propose a blockchain enabled governance framework for building trustworthy software. Our framework supports the recording, monitoring, and analysis of various activities throughout the application development life cycle thereby bringing in transparency and auditability. It facilitates the specification of regulations and best practices and verifies for its adherence raising alerts of non-compliance and prescribes remedial measures.
Fri 15 Nov
14:00 - 15:30: EXPLAIN 2019 - Explainability and ML at Cortez 1B Chair(s): Albert ZündorfKassel University | ||||||||||||||||||||||||||||||||||||||||||
14:00 - 14:30 Talk | Framework for Trustworthy Software Development Jagadeesh Chandra Bose R PAccenture, Kapil SingiAccenture, Vikrant KaulgudAccenture Labs, India, Kanchanjot Kaur PhokelaAccenture, Sanjay PodderAccenture | |||||||||||||||||||||||||||||||||||||||||
14:30 - 15:00 Talk | Don’t Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models | |||||||||||||||||||||||||||||||||||||||||
15:00 - 15:30 Other | Working Group Formation |