Aiming to address the increasing demand for data presented by Artificial Intelligence (AI). This essay proposes adopting an Ethical Artificial Intelligence Sustainability Impact Statement (E.A.I.S.I.S) through the various stages of the Artificial Intelligence Development Cycle (AIDC). The following analysis treats data as a limited resource requiring sustainable exploitation and management. Following a brief discussion about sustainability and AI, the different stages of the AIDC and accompanying factors for an ethical impact evaluation are addressed through proposed questions. These inquiries are intended to identify, disclose and address the data’s toxicity level, or potential ethical harm for use.
The proposed approach to data as a public good benefits both the digital environment (DE) and conserves natural resource demand in the real world (IRL). Data is currently a commodity commanding prices higher than oil within a booming data brokerage industry.1 As with other commodities, derivative markets will form with the price for data lowering proportionally to its level of impurity, or debasement. Through using an E.A.I.S.I.S. approach, certain ethical issues attached to data can be flagged, evaluated, and provided to all users and redeployed in a transparent manner. The following discussion addresses factors to be considered in creating an E.A.I.S.I.S. in the development of an autonomous vehicle (AV). As a novel approach to AIDC, the issues raised are intended to serve as a framework for later discussion, research, development, and application.