Browsing School of Computer Science and Statistics by Author "Pandit, Harshvardhan"
Now showing items 1-20 of 21
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AIRO: an Ontology for Representing AI Risks based on the Proposed EU AI Act and ISO Risk Management Standards
(2022)The growing number of incidents caused by (mis)using Artificial Intel- ligence (AI) is a matter of concern for governments, organisations, and the public. To control the harmful impacts of AI, multiple efforts are being ... -
Building a Data Processing Activities Catalog: Representing Heterogeneous Compliance-related Information for GDPR using DCAT-AP and DPV
(2021)This paper describes a new semantic metadata-based approach to describing and integrating diverse data processing activity descriptions gathered from heterogeneous organisational sources such as departments, divisions, and ... -
Comparison and Analysis of 3 Key AI Documents: EU's Proposed AI Act, Assessment List for Trustworthy AI (ALTAI), and ISO/IEC 42001 AI Management System
(2022)Conforming to multiple and sometimes conflicting guidelines, standards, and legislations regarding development, deployment, and governance of AI is a serious challenge for organisations. While the AI standards and regulations ... -
Comparison of notice requirements for consent between ISO/IEC 29184:2020 and GDPR
(2021)This article analyses the ISO/IEC 29184:2020 standard and compares its requirements for notice and consent with those specified by the General Data Protection Regulation (GDPR). More specifically, it considers the extent ... -
Consent Recipts for a Usage And Auditable Web of Personal Data
(2022)Consenting on the Web, in the context of online privacy and data protection, is universally accepted as a difficult problem, mainly because of its cross-disciplinarity. For example, any approach to online Consenting needs ... -
Consent Through the Lens of Semantics:State of the Art Survey and Best Practices
(2021)Our paper presents a literature survey of existing solutions that use semantic technology for implementing consent. The main focus is on ontologies, how they are used for consent representation and for consent management ... -
Creating a Vocabulary for Data Privacy: The First-Year Report of Data Privacy Vocabularies and Controls Community Group (DPVCG)
(2019)Managing privacy and understanding handling of personal data has turned into a fundamental right, at least within the European Union, with the General Data Protection Regulation (GDPR) being enforced since May 25th 2018. ... -
Crowd-sourcing Multi-Domain Issues in Consent Dialogues for Automated Generation of Legal Complaints
(2021)Analysis of dark patterns in consent dialogues includes issues that several domains: HCI for the analysis of interaction mechanisms; psychology and ethics for understanding impact to the individual, technological understanding ... -
Data Protection and Consenting Communication Mechanisms: Current Open Proposals and Challenges
(2022)Data Protection and Consenting Communication Mechanisms (DPCCMs) enable users to express their privacy decisions and manage their online consent. Thus, they can become a crucial means of protecting individuals’ online ... -
Discussing ethical impacts in research and innovation: The ethics canvas
(2018)Technologies are increasingly intertwined with people’s daily lives. Consequently, there is an increasing need to consider the ethical impacts that research and innovation (R&I) processes, both in commercial and non-commercial ... -
DPCat: Specification for an Interoperable and Machine-Readable Data Processing Catalogue Based on GDPR
(2022)The GDPR requires Data Controllers and Data Protection Officers (DPO) to maintain a Register of Processing Activities (ROPA) as part of overseeing the organisation’s compliance processes. The ROPA must include information ... -
[How] Do Users Benefit From Giving Consent?
(2021)Consent is meant to empower users by giving them a choice regarding the use of their personal data. Thus, organisations have the incentive to provide benefits, whether directly or indirectly, in return ... -
ODRL Profile for Expressing Consent through Granular Access Control Policies in Solid
(2021)Solid, the emerging technology for organizing data in decentralized stores, relies on a simple authorization mechanism for granting access to data. Solid's personal online datastores (Pods) are ideal for keeping personal ... -
An Ontology for Standardising Trustworthy AI
(IntechOpen, 2021)Worldwide, there are a multiplicity of parallel activities being undertaken in developing international standards, regulations and individual organisational policies related to AI and its trustworthiness characteristics. ... -
Personalised Privacy Policies
(2018)Internet services have become an important part of the daily life for a large number of people, and often deal with varying amounts of personal information. A privacy policy is a legal document governed by territorial ... -
Role of Identity, Identification, and Receipts for Consent
(2021)This article outlines issues in the current ecosystem of data sharing based on consent and the role of identity and identification. It argues how the consent mechanism is hostile to individuals in the form of: (a) inscrutable ... -
Semantic Schema Mapping for Interoperable Data-Exchange
(2020)GDPR’s Right to Data Portability requires data to be provided in an interoperable, commonly used, and machine-readable format and facilitates its transfer between controllers. However, a major challenge for such data ... -
A Semantic Specification for Data Protection Impact Assessments (DPIA)
(2022)The GDPR requires assessing and conducting a Data Protection Impact Assessment (DPIA) for processing of personal data that may result in high risk and impact to the data subjects. Documenting this process requires ... -
Standardization and the Governance of Artificial Intelligence Standards
(Springer, 2021)The topic of trustworthy Artificial Intelligence (AI) has attracted wide attention from governments, companies and international bodies as they strive to address the ethical and societal risks that emerge as performance ...
