arXiv subjects

Jennafer Shae Roberts

Publications and source records attributed to Jennafer Shae Roberts.

4 recordsLinked to original sources

arXiv2024

Towards Fairness in AI for Melanoma Detection: Systemic Review and Recommendations

Early and accurate melanoma detection is crucial for improving patient outcomes. Recent advancements in artificial intelligence AI have shown promise in this area, but the technologys effectiveness across diverse skin tones remains a critical challenge. This study conducts a systematic review and preliminary analysis of AI based melanoma detection research published between 2013 and 2024, focusing on deep learning methodologies, datasets, and skin tone representation. Our findings indicate that while AI can enhance melanoma detection, there is a significant bias towards lighter skin tones. To address this, we propose including skin hue in addition to skin tone as represented by the LOreal Color Chart Map for a more comprehensive skin tone assessment technique. This research highlights the need for diverse datasets and robust evaluation metrics to develop AI models that are equitable and effective for all patients. By adopting best practices outlined in a PRISMA Equity framework tailored for healthcare and melanoma detection, we can work towards reducing disparities in melanoma outcomes.

cs.CY↗

arXiv2023

In Consideration of Indigenous Data Sovereignty: Data Mining as a Colonial Practice

Data mining reproduces colonialism, and Indigenous voices are being left out of the development of technology that relies on data, such as artificial intelligence. This research stresses the need for the inclusion of Indigenous Data Sovereignty and centers on the importance of Indigenous rights over their own data. Inclusion is necessary in order to integrate Indigenous knowledge into the design, development, and implementation of data-reliant technology. To support this hypothesis and address the problem, the CARE Principles for Indigenous Data Governance (Collective Benefit, Authority to Control, Responsibility, and Ethics) are applied. We cover how the colonial practices of data mining do not align with Indigenous convictions. The included case studies highlight connections to Indigenous rights in relation to the protection of data and environmental ecosystems, thus establishing how data governance can serve both the people and the Earth. By applying the CARE Principles to the issues that arise from data mining and neocolonialism, our goal is to provide a framework that can be used in technological development. The theory is that this could reflect outwards to promote data sovereignty generally and create new relationships between people and data that are ethical as opposed to driven by speed and profit.

cs.CY↗

arXiv2023

The Glamorisation of Unpaid Labour: AI and its Influencers

To harness the true potential of Artificial Intelligence (AI) for societal betterment, we need to move away from prioritising corporate interests which exploit Global South workers in the digital age. The unpaid labour and societal harms which are generated by Digital Value Networks (DVNs) disproportionately affect workers in Africa, Latin America, and India and need to be regulated. In this research, we discuss unethical practices to automate Human Intelligence Tasks (HITs) through gig work platforms and the capitalisation of data collection utilising influencers in social media. These are important areas of study in worker and user data practices, where ethical AI could be impactful. We provide suggestions for a path forward focused on responsible AI development.

cs.CY↗

arXiv2022

Decolonisation, Global Data Law, and Indigenous Data Sovereignty

This research examines the impact of digital neo-colonialism on the Global South and encourages the development of legal and economic incentives to protect Indigenous cultures globally. Data governance is discussed in an evolutionary context while focusing on data sharing and data mining. Case studies that exemplify the need to steer global data law towards protecting the earth, while addressing issues of data access, privacy, rights, and colonialism in the global South are explored. The case studies highlight connections to indigenous people's rights, in regard to the protection of environmental ecosystems, thus establishing how data law can serve the earth from an autochthonous lens. This framework examines histories shaped by colonialism and suggests how data governance could be used to create healthier balances of power.

cs.CY↗