Negotiating Exchanges of Private Information for Web Service Eligibility

Private information about individuals that engage in e-commerce business transactions is of economic value to businesses for market analysis and for identifying possible future partners. For various reasons, maintaining the privacy of that information is important to these individuals, including avoiding unwelcome communication, spam, from those businesses or their associates. In this paper we advocate a negotiation strategy to be used by an individual deciding whether or not to divulge information to a specific electronic business for a specific purpose, such as achieving preferential status with a service provider or a discounted price from a vendor. The strategy makes use of explanation techniques for expert systems that answer “how”, “what if” and “why not” questions. We assume that the business practices of the provider or vendor are available as explicit business rules, including the eligibility criteria for preferential status and price discounts. Our prototype allow...

• Type: Conference
• Year: 2003
• Where: AI
• Authors: Keping Jia, Bruce Spencer
• Keywords: AI 2003, Artificial Intelligence, Eligibility Criteria, Preferential Status, Private Information