AI in Telecommunications

The telecommunications industry has been a fertile field of application for A I . Some of the earliest field applications of expert sy terns were in telecommunications. So when we are looking to the future we wish to examine the current status of AI in telecommunications. Is telecommunications to continue to be at the center of application of AI? If so what are the applications that wil l be explored? I n t r o d u c t i o n AI has found a wide application in improving the efficiency of the telecommunications infrastructure. Some of the world's first practical expert systems were employed to improve operations and maintenance of telecommunications networks and services. Wi th the growth in complexity of networks, there wil l be ample opportunity for the application of AI to this future infrastructure. Several of the panel members wil l present their contributions in this direction. Future telecommunication services are very complex, and if they are to be promulgated to a wide audience they wi l l require a much easier user interface. AI holds the promise of overcoming these difficulties and playing a major role in the widespread promulgation of new services. How do we construct new environments that are suitable for this task ? What are the key research issues in creating these service environments? What role wil l speaker understanding have in this progression ? Others hold the hope of AI techniques overcoming the difficulties that different languages present, The future promise of translation of language as part of a communication network has profound implications for all of us. Whilst this is a long term goal, the implications are very far seeking. It is timely to review progress in this direct ion, and to assemble the issues that need addressing. Wi th progress towards high rate international communication networks, there are great opportunities for adding high level services such as translation. Future information services offer the promise of delivering a wide range of information sources to a very large audience. Yet we are only now beginning to grapple with the issues of how to present these services to new customers. Many hold the promise of AI techniques playing a large part in the new information society. New techniques for natural language processing and knowledge acquisition are very important in this area.In many ways AI may be one of the key enabling technologies for the creation of these new services. This panel wil l highlight the research issues that are important for this new phase we are entering. Given that we have some experience in the application of A I, it is timely to review the important issues in this application. What are the prerequisites to successful application and what issues are important for the future? How wil l this experience contribute to better methods of building AI Systems? Clearly we would like to take the lessons of the past to give a direction to the future of AI in telecommunications. This panel wil l present a view of the state of AI in telecommunications from the viewpoint of a number of international contributors. It presents a view of the current status of AI in telecommunications, and examines the key issues for the near future. T h e perspect ive o f A u t o m a t i c Telephone I n t e r p r e t a t i o n A k i r a K u r e m a t s u President ATR Interpreting Telephone Laboratories Kyoto , Japan An automatic telephone interpretation system will transform a spoken dialogue from the speaker's language to the listener's automatically and simultaneously. Creation of such a system wil l require developing various constituent technologies: speech recognition, machine translation and speech synthesis. Technology to integrate individual subsystems to form an automatic telephone interpretation system is also important. A sigJennings, et al, 555 nilicant requirement for an automatic telephone interpretation system is two-way spoken language interpretation between persons speaking different languages. The recent progress in the technologies on speech recognition, machine translation of dialogues, and speech synthesis allows a promising forecast of the feasibility of an automatic telephone interpretation system in an goaloriented dialogue in a specific domain. The perspective of an automatic telephone interpretation system will be discussed in this panel. Bellcore's R & D Program in A I A d a m I rgon Bell Communications Research