The rising wave of technological advancement has presented us with several innovations including artificial intelligence(AI) and chatbots. Microsoft’s Bing search engine features a chatbot that seems to have raised many eyebrows due to the accuracy of its responses. This article explores the functionalities of chatbots, how they process information, the issues associated with them and offers suggestions on how to improve their effectiveness.
Defining Chatbots
Chatbots are computer programs developed to mimic human conversations using text-based interfaces such as websites or messaging applications. These programs employ natural language processing (NLP) and machine learning algorithms to understand and respond accordingly to users. Their applications range from retail to healthcare, and finance as they enhance customer service and automate repetitive tasks.
Artificial Intelligence: Fueling Chatbots to Process Information
Some chatbots operate using an AI form known as a neural network. A concept rooted in the structure and function of the human brain, neural networks are machine learning algorithms that use mathematical models. They consist of artificial neurons interconnected to process information and learn data patterns via repeated exposure. As these networks analyze large data quantities, they can adjust their parameters to improve prediction accuracy or object classification. Researchers have used vast amounts of digital text to develop neural networks called large language models. Microsoft’s Copilot and Open AI’s Chatgpt are good examples of this.
Recognizing Issues Associated with Chatbots
Chatbots may not decode the user’s intent or the question context accurately, leading to incomplete or inaccurate information. This misinformation can frustrate users and lead to a poor experience. Additionally, chatbots could gather sensitive details such as credit card information from users, exposing them to potential data breaches or security threats.
Moreover, if chatbots are not designed considering diversity and inclusivity, they could perpetuate discrimination or bias. Particularly in sectors like healthcare where misleading or incorrect information might have severe repercussions for patients.
Charting a Way Forward
To curb these issues and ensure chatbot effectiveness, they should be designed with ethical considerations in mind. They should be programmed to cater to all users, irrespective of their abilities or background, to prevent discrimination or bias.
Collaboration between humans and chatbots can enhance the accuracy of chatbot responses and offer a more human-like experience for users. Through this, we can harness the technological wave of AI and chatbots safely and effectively while ensuring user satisfaction.
About UPSC Civil Services Examination: A Recap
The 2020 civil service examination posed a question about artificial intelligence’s effective contributions. The correct answer recognized AI’s current capabilities in reducing electricity consumption in industrial units, enabling disease diagnosis, and converting text-to-speech.