Phase 4: Conventional AI
Indiana Wesleyan University
Overview of phase 4
A clear definition and description of the AI project.
Overview of the problems addressed
Scope formulation and defining variables.
Determining how scope relates to problem solution
Determining approach used in tracing the scope in ensuring the problems are addressed.
This phase is one of the important stages of this project as it focuses at determining the blueprint and the path to be followed in ensuring the project objectives and problems are solved. This is covered under scope where phase 4 develops an appropriate scope for the project. In ensuring a clear understanding of the project is attained, a recap of the issues discussed in previous stages such as problem analysis is done in phase 4.
The name of the project is Conversational AI.
Conversational AI seeks to establish real-time interactions and conversations between a business and a customer.
It is developed with the aim of enhancing customer experience.
The main focus is ensuring customers enjoy interactions in the company.
The project focuses on development of a conversational AI that can be used in establishing conversation between a business and its customers. This system operates like a chatbot but more advanced in that it has the capacity to interpret more personal information and providing appropriate feedback that is more sensitive to the needs of the customers. The main aim of the AI is establishing effective interactions and conversations with the customer as part of ensuring the customer enjoy the experience or encounter with the business.
Overview of the problems addressed
Business problem: ensuring there is optimal customer experience.
Technological problem: ensuring the challenges and problems associated with development and installation of AI are minimized and eliminated as possible.
Ethical issues: ensuring there is no infringement of other people’s rights and integrity in the process of developing and implementing the AI.
There are three main areas that form the foundation to scope definition and development in this project. These are the problem areas that are solved by the project. The first problem is the existent gaps in customer experience and interactions where the customers need a responsive system to reduce service time spent in accessing services from an organization. The second problem area is the challenges experienced in development and installation of AI such as data management and security issues. The third issue or problem area is how the AI will ensure there is efficiency and in relation to compliance with ethical standards related to the use of AI.
The project focuses on the inputs needed for successful implementation of conversational AI.
There are three main components of the project scope:
Business value aspect of the conversational AI.
Technological risk management aspect of the AI.
Ethics strategy of the project (Jan et al, 2018).
The problems will be addressed through ensuring there are three pillars forming foundation of the scope. The first scope is the business value aspect of the project that seeks to ensure the project addresses the business problem solved by the conversational AI. The second pillar is the technological aspect of the AI that determines strategies that can be used in ensuring the challenges associated with installation of AI does not occur. The third aspect is the ethics strategy that seeks to establish the most appropriate
The project scope will be managed effectively to prevent scope creep.
Each section defining scope will be supported by a clear analysis report.
A Gantt chart is used in controlling the scope and ensuring only the planned activities are carried out (Derenskaya, 2018).
In ensuring the project scope follows the plan, an effective scope management strategy will be applied which entails a scope control technique to ensure only the intended activities are undertaken to solve the three problem areas identified. It is for this reason that a Gantt chart will be used.
Jan, A., Abbas, A., & Ahmad, N. (2022). Monitoring and Controlling Software Project Scope Using Agile EVM. Evolving Software Processes: Trends and Future Directions, 89-121.
Derenskaya, Y. (2018). Project scope management process. Baltic Journal of Economic Studies, 4(1), 118-125.
AI Project: Phase 3.
Indiana Wesleyan University
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.
Opportunities with conversational AI
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.
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.
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.
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.
Involvement in Native Languages Conversations.
Adoption and Discovery
Input in the form of language.
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.
Potential Solutions to Ethical Issues
Trust and openness are essential.
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.
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.
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.
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