The Importance of Ethical Conversational AI Design for AI Enterprises

What are the reasons an AI enterprise needs Ethical Conversational Design?

What is Conversational AI?

Conversational AI, which is also known as conversational artificial intelligence, refers to technology that consumers may converse with, such as chat-bots or virtual agents. They employ big data, Machine Learning, and Natural Language Processing to mimic human interactions by identifying speech and text inputs and translating their meanings across languages. That is, it refers to a variety of artificial intelligence technologies that allow computers to communicate with humans "intelligently."

Conversational AI, ideally uses Natural Language Processing, Machine Learning, Deep Learning, and Predictive Analytics to provide a more dynamic, less limited user experience. Conversational AI is capable of text and voice commands, inputs and outputs, understanding, and contextualization. It is dialogue-focused and has easy deployment and integration capabilities with databases.

What is Conversational AI Ethics?

What are the responses of these AI programs to diversity or gender-related questions or statements? Are they able to distinguish between a child and an adult? What are their reactions to different tones, such as gladness or hostility? Is it possible for them to consider body language? The answer is a clear NO. The reason being no matter how much "intelligent" a machine can get, they are NOT Humans. They lack feelings, emotions, consciousness, morals, ethics and values.

Although humanity has made significant progress in the fight against prejudice, we are still flawed beings that are prone to carrying grudges, possessing unconscious prejudices and biases, and subconsciously choosing one person over another. Conversation Artificial intelligence applications have progressed to the point that they can easily pass the Turing Test and convince a human that they are conversing with another human. Despite the fact that AI has grown over time, ethics and morality have not always been a top design priority.

It's plausible to believe that these unconscious tendencies are built-in when programmers, data scientists, engineers, and designers, particularly those who work on AI, are working on the next AI application. Even when companies strive to fix problems with AI, such as when Amazon uses AI to prescreen job applicants, unconscious bias can creep in and muddy the playing field unfairly.

Accent bias has also been discovered in intelligent assistants like Alexa and Google Home, according to new research.

These accent biases were not intentionally included in the design. Instead, they're present because the majority of early voice assistant adopters were white, upper-middle-class Americans. To effectively train AI, we need to employ a wide range of voices. Any AI endeavor should place a strong emphasis on diversity, equity, inclusion, and belonging.

Why Ethics in Conversational AI is important?

"Our job as designers is no longer simply an opportunity to make the world more beautiful," said Mark Rolston, Chief Creative Officer and Founder of Argodesign, a product design consultancy, and advisor to the Responsible Artificial Intelligence Institute (RAII), "but also as a central actor in ensuring it is trustworthy, fair, and accessible to everyone," and that "the role of design is driving a whole-systems view of AI in order to thoroughly understand its impact." Given the numerous ways in which AI informs, develops, and influences our lives, designers must ensure that it is done fairly. Humans can better comprehend why AI makes certain judgments by using explainable AI, which is considered crucial.

The role of design in making AI authoring and auditing easier, more accessible, and visible is a more nuanced consideration. Because AI is often complex, humans are justified in their distrust for it. Those involved in the development and design of AI applications have a responsibility to make sure that what they produce is built on an ethical foundation that inspires trust. As practitioners and stakeholders in a product design firm, they must choose whether or not to develop a future that will be trusted by all. Advocating and engineering for the positive should be their collective obligation. And inviting a creative organisation to do this is amongst the most useful things a creative organisation can do.