Four frontiers of AI ethics
Abstract
The field of AI ethics is still solidifying, and is beginning to have tangible effects on the direction of innovation in the technology. This paper identifies four ethical frontiers that are likely to shape the future of AI. The first is the recognition of contexts represented by the data and culture of an AI system’s development, which can be a challenge to the aim of using AI to bring about greater prosperity and equity globally. Next, some of the difficulties and discoveries of investigations into AI explainability are discussed. The vulnerability of AI’s reliance on large amounts of data in the advent of data rights is described, along with the innovative solutions currently being explored to support secure, privacy-preserving AI. Finally, the two fields that best exemplify the ethics of AI-supported decision making serve as case studies into autonomy and accountability: medicine and warfare.
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Author's Biography
Sarah Khatry was most recently the managing director of AI ethics at DataRobot. Her work as a data scientist has focused on ‘for good’ initiatives, using artificial intelligence (AI) and machine learning (ML) to improve quality of life and access to opportunities globally, and additionally in the execution of ethically sensitive AI use cases. She has become an AI ethics thought leader, providing frameworks and tools to guide organisations through algorithmic impact assessments, bias and fairness in AI and risk-based project planning. Additionally, she has engaged with the US Federal Government to advise on the responsible use of technology. Sarah came to AI with a profound interest in the intersection of technology with human rights and social justice, which has informed every aspect of her work in the growing field of AI ethics.
