The benefits and challenges of AI-powered interactions
Conversational AI, Generative AI, and Intelligent Search are three of the most rapidly developing and exciting technologies in the field of Artificial Intelligence. Each of these technologies on its own has the potential to revolutionize the way we interact with computers and the internet. In recent years, we have seen these three technologies begin to converge. This convergence is creating new possibilities for human-computer interaction that was previously unimaginable – a world where humans are interacting with computers without realizing it.
What is Conversational AI
Conversational AI is a technology that allows computers to understand and mimic human conversations.
What is Generative AI
Generative AI is a technology that takes written inputs to generate something entirely new as an output.
What is Intelligent Search
Intelligent search uses AI to give users a natural language-like interaction within a digital search query. Intelligent search systems are able to understand the intent and meaning of queries and respond to them in a way that feels like you’re talking to a person.
The convergence of the three technologies has a number of benefits, including:
A more natural and engaging user experience
These technologies can be used to create a more natural and engaging user experience that feels more similar to how we interact with each other. Conversational AI chatbots can be used to provide customer service or answer questions in a way that feels like talking to a real (helpful) person.
More personalized and relevant results in search and conversation
The combination of the three can help personalize and tailor search results to our individual needs and preferences. Information like past chat or search history can help contextualize questions and provide insight into what we are looking for, in order to provide more relevant results.
Improved accuracy and efficiency
The overall accuracy and efficiency of our interactions with computers will be vastly improved. For instance, Generative AI can be used to create more accurate translations and Conversational AI can be layered on to help improve the natural flow of the translations.
New possibilities for innovation
The convergence of these three technologies opens up new possibilities for innovation in a wide range of industries. They can be leveraged to create new educational experiences, new forms of entertainment, and even new ways of working.
There are already a number of real-life examples of what the world will look like as these technologies continue to grow and strengthen each other.
We have chatbots that can generate creative content from text inputs. The outputs range from written poems to functional code, and even visual images. You can use an intelligent search engine that understands natural language, lowering the effort required by the user to find the information that they need. We even have intelligent virtual assistants that can learn and adapt to user preferences, suggesting and setting alarms, making appointments, or ordering food.
The challenges of the convergence of AI-powered technologies
With the recent news about the FTC investigation of OpenAI, data privacy, and security concerns are top of mind for many in the industry. These technologies collect a lot of data about us, which raises concerns about how that information is protected and used.
The technologies are written and trained by people, which means that they are at risk of learning the biases of their creators. Bias and discrimination against groups of people has been an ongoing ethical and technical problem that must be adequately addressed for the technologies to be trusted at scale.
The amount of data required to train these technologies and the cost to acquire that data continues to grow. It is expensive to continue to grow and develop the next generation of AI.
The convergence of Conversational AI, Generative AI, and Intelligent Search is a powerful trend that has the potential to revolutionize the way we interact with technology. Many challenges need to be addressed but the potential benefits when done right, are significant.
