AI loyalty: A New Paradigm for Aligning Stakeholder Interests
| Autor: | Anthony Aguirre, Harry Surden, Gaia Dempsey, Peter B. Reiner |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Process (engineering) media_common.quotation_subject Internet privacy Appeal 050801 communication & media studies 02 engineering and technology 0603 philosophy ethics and religion Best interests K.4 GeneralLiterature_MISCELLANEOUS Fiduciary Computer Science - Computers and Society 0508 media and communications 020204 information systems Loyalty Computers and Society (cs.CY) 0202 electrical engineering electronic engineering information engineering media_common business.industry 05 social sciences Equity (finance) Stakeholder 06 humanities and the arts Variety (cybernetics) ComputingMethodologies_PATTERNRECOGNITION 060302 philosophy Accountability Task analysis business |
| DOI: | 10.48550/arxiv.2003.11157 |
| Popis: | When we consult with a doctor, lawyer, or financial advisor, we generally assume that they are acting in our best interests. But what should we assume when it is an artificial intelligence (AI) system that is acting on our behalf? Early examples of AI assistants like Alexa, Siri, Google, and Cortana already serve as a key interface between consumers and information on the web, and users routinely rely upon AI-driven systems like these to take automated actions or provide information. Superficially, such systems may appear to be acting according to user interests. However, many AI systems are designed with embedded conflicts of interests, acting in ways that subtly benefit their creators (or funders) at the expense of users. Unlike the relationship between an individual and a doctor, lawyer, or financial advisor, there is no requirement that AI systems act in ways that are consistent with the users’ best interests. To address this problem, in this paper we introduce the concept of AI loyalty. AI systems are loyal to the degree that they are designed to minimize, and make transparent, conflicts of interest, and to act in ways that prioritize the interests of users. Properly designed, such systems could have considerable functional and competitive – not to mention ethical – advantages relative to those that do not. Loyal AI products hold an obvious appeal for the end-user and could serve to promote the alignment of the long-term interests of AI developers and customers. To this end, we suggest criteria for assessing whether an AI system is sufficiently transparent about conflicts of interest, and acting in a manner that is loyal to the user, and argue that AI loyalty should be deliberately considered during the technological design process alongside other important values in AI ethics such as fairness, accountability privacy, and equity. We discuss a range of mechanisms, from pure market forces to strong regulatory frameworks, that could support incorporation of AI loyalty into a variety of future AI systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|