5.3 Preliminary PPt
AI Project: Phase 3.
Indiana Wesleyan University
Mandar SAthe
Date: 08/01/2022
Introduction on Conversational AI
Conversational AI enables users to engage with computer programs in the same way that they would interact with human people, allowing for seamless transitions between the two.
Conversational artificial intelligence often takes the form of advanced chatbots, also known as AI chatbots that are differentiated from standard chatbots.
There is a possibility that conventional voice assistants and virtual agents may also profit from these new technologies.
The development of AI that can carry on conversations is still in its infancy, but it is making rapid strides.
The project makes use of AI that can have conversations. This kind of artificial intelligence offers a platform for customers to post queries and get rapid and individualized responses in order to enhance the quality of customer service. Because of this project, responses to the questions that clients have concerning the company will be accessible to them in a way that is both speedy and uncomplicated. As a direct consequence of this change, the amount of time spent providing service to customers will be reduced in half, and their overall experience will be enhanced.The capabilities of a typical chatbot are restricted in comparison to those of a conversational AI chatbot, which may provide solutions to problems, answer frequently asked questions, and even engage in small talk. Conversational AI, on the other hand, may be accessed and used by audio, video, or any combination of these three media as required, in contrast to static chatbots, which are often located on the website of a firm and only provide textual interactions.
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Opportunities with conversational AI
Cost-effective
Timely
Agent efficiency
Cost-effective.It may be costly to hire customer support workers, especially if you have to deal with requests outside of normal business hours.As a result of this, small and medium-sized businesses could be able to save money on compensation and planning if they provide customer assistance using conversational interfaces. Customers may communicate with chatbots and virtual assistants around the clock, seven days a week.It's been much too long.The ability of conversational AI to give customers with almost rapid responses is a significant advantage. How quickly does Alexa usually respond to questions? In the same vein, a virtual assistant may provide a response to a customer's inquiry far faster than a human assistant can.Attempts made by the agencyConversational artificial intelligence (AI) has reached the point where it can handle some customer service problems on its own, completely removing the need for human intervention. This category may include fundamental responsibilities, such as looking up the location of a firm shop or reviewing the balance sheet of an account. After AI takes control, agents will have more time to focus on more challenging scenarios.
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Problem Addressed
The main problem addressed relate to technological issues that impact the development of conversational AI.
Ethical issues and the relationship with conversational AI are also addressed.
Technological Issue
Remote internet speed and connections
Deep fake content
Poor user experience
Data mix-up as a result of AI implementation.
Too much automation
When a user makes a request for a voice-activated help, the information that is sent must be properly organized and kept in a safe location. Voice assistance and chatbots must get the attention they need from an organization, in addition to following the stringent security guidelines that organizations create for these channels, in order for clients to develop trust in these communication methods. When conducting sensitive individual data analytics, a conversational AI application must be designed with security in mind to ensure that all personal information is protected or censored depending on the channel that is being used. This is especially important when the application is answering questions from users.
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Potential Solution to Technological Issues
By using 5G, internet speeds will be significantly improved.
Creating legal and policy frameworks to guard against the spread of false information.
Implementing improvements to improve negative customer experiences based on input from those customers.
Improved pop-out blockers are needed to avoid data mix-ups..
Securing the long-term success of a single company model.
Ethical Issues
Involvement in Native Languages Conversations.
Adoption and Discovery
Input in the form of language.
Simultaneous Conversations
Due to the fact that only a very tiny fraction of the world's population is able to speak English, it is challenging for a voice assistant to engage in a language that is not English. Whether or not you are able to converse with a voice assistant in your native language determines how many people it will be able to convince and how well it will establish confidence in its capabilities. It is essential to take into consideration the many linguistic varieties as well as the cultural variations that may be found all over the globe.It is feasible to increase the number of individuals who are prepared to test out a larger variety of applications for conversational AI by making it simpler and more standardized for the general public to use. This would allow for more people to try out a wider range of applications. Teaching people who aren't used to new technology about the benefits that it has to offer may help them grow more used to using the new technology.
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Potential Solutions to Ethical Issues
Multiple methods.
Trust and openness are essential.
Privacy.
Conversational AI may be utilized in a broad variety of settings, each of which might give rise to a unique set of ethical concerns due to the varying nature of the data collected. Having a complete understanding of both the subject matter and the circumstances at hand is necessary in order to find possible ethical difficulties and their solutions. A customer-facing or public-facing chatbot that is intended to answer generic or unrestricted inquiries will have a completely different set of considerations than an internal chatbot that is utilized by personnel to do a particular job. In order to develop a responsible system, you need to have an in-depth understanding of the characteristics, circumstances, and interests of the user group.When individuals interact with virtual agents, such as always-on household appliances, this might give rise to a variety of moral and legal issues. Issues about how data is collected, who gets access to it, how long it is kept for, how long it is maintained, where it is used, and what it is used for are among these concerns. According to the General Data Protection Regulation (GDPR) in Europe, collecting user data results in a number of privacy concerns. These concerns have a legal basis and are safeguarded by data protection law. The ethical issues that emerge are subject to change depending on the setting in which the agent is utilized and the level of vulnerability shown by its user group. In this area, where the default strategy should be to only collect and keep user data if it is necessary for the specified service and to do so in a transparent way, we believe that this is the best approach. Even though clear legal requirements should be considered as a baseline rather than a goal, this is an area where clear legal requirements should be considered.
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Conclusion
When it comes to finding a solution to the problems that we have identified, there is not just one option.
It is necessary for designers, builders, and users to confront and investigate the social responsibility that is inherent in the process of creating, developing, and deploying an agent into the social realm in order to develop agent-specific techniques to address the ethical problems that have been outlined.
Is it feasible that our day-to-day lives will change as a direct consequence of the pervasiveness of agents and their integration into our lives? Whose decisions will have the most effect on the outcome? Although the answers to these questions are tough to find, doing so will help the reader get a deeper comprehension of the ethical conundrums that are covered in this book. When it comes to finding a solution to the problems that we have identified, there is not just one option. It is necessary for designers, builders, and users to confront and investigate the social responsibility that is inherent in the process of creating, developing, and deploying an agent into the social realm in order to develop agent-specific techniques to address the ethical problems that have been outlined.
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References
Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector—applications and challenges. International Journal of Public Administration, 42(7), 596-615.
Huang, M. H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research, 24(1), 30-41.