Virtual assistants are becoming a part of our daily life, from our homes to our work. Sometime we may not even know that the customer service agent that we were speaking with is a virtual assistant. These assistants continuously collect information from our interactions and learn many things about us. The information they gather over time is enormous. This chapter introduces the concept of ethics, discusses the ethical principles of virtual assistants, (Transparency, Justice & fairness, Non-maleficence, Responsibly and Privacy). Although there is limited regulation governing these virtual assistants, practical guidelines and recommendations are provided for designers and developers to understand the ethical implications when building a virtual assistant. In this chapter, we also discuss technology and learning techniques for virtual assistants and present examples on how to ensure ethical virtual assistant.
Part of the book: Virtual Assistant
The fourth industrial revelation has brought exponential technologies in the area of digitization, internet of things (IOT), artificial intelligence (AI), and optimization which has helped mining companies to increase the availability and utilization of equipment’s. As mining companies implement predictive maintenance technologies, to improve overall equipment availability, there is more value to be unearthed if predictive maintenance is optimized with the production schedules. Ant colony optimization (ACO) is a metaheuristic that is inspired from the behavior of real ants to solve combinatorial optimization problems. This chapter describes an innovative maintenance scheduling framework in the context of optimizing schedules for preventive maintenance and predictive maintenance, with multiple constraints for optimized dynamic schedule to reduce the maintenance time, and production losses.
Part of the book: The Application of Ant Colony Optimization