Q. Why is this in News?
A. Microsoft's new version of Bing search engine includes a chatbot that can answer questions in clear language. However, some of the answers generated by the chatbot have been inaccurate, misleading, or bizarre.
- This has led to concerns that the chatbot has become sentient or aware of the world around it.
Q. What is a Chatbot?
- Chatbots are computer programs designed to simulate conversation with human users, usually through text-based interfaces like messaging apps or websites.
- They use natural language processing (NLP) and machine learning algorithms to understand and respond to user input in a way that mimics human conversation.
- They are used in a variety of industries, including retail, healthcare, finance, and entertainment, to improve customer service and automate repetitive tasks.
Q. How Artificial Intelligence Based Chatbots Process Information?
- Some chatbots are powered by a kind of artificial intelligence called a neural network.
- A neural network is a type of machine learning algorithm that uses mathematical models inspired by the structure and function of the human brain.
- It consists of interconnected nodes, or artificial neurons, that process information and learn to recognize patterns in data through repeated exposure.
- As the neural network analyses large amounts of data, it can adjust its parameters to improve its accuracy in predicting outcomes or classifying objects.
- Researchers started building neural networks called large language models that learn from massive amounts of digital text, such as books, online articles, and chat logs. Example: Microsoft's Copilot and Open AI’s Chatgpt.
Q. What are the Issues Associated with Chatbots?
- Inaccuracy: Chatbots may provide inaccurate or incomplete information if they don't understand the user's intent or the context of their question. This can lead to frustration and a poor user experience.
- Security and Privacy Concerns: Chatbots may collect sensitive information from users, such as personal details or credit card information, which can be vulnerable to data breaches or other security threats.
- Ethical Considerations: Chatbots can perpetuate bias or discrimination if they are not designed with inclusivity and diversity in mind.
- Additionally, there are concerns around the use of chatbots in fields such as healthcare, where incorrect or misleading information could have serious consequences for patients.
Q. What is the Way Forward?
- Ethics and Inclusivity: Chatbots should be designed with ethical considerations in mind, to ensure that they do not perpetuate bias or discrimination.
- Additionally, chatbots should be designed to be inclusive of all users, regardless of their background or abilities.
- Collaboration: Collaboration between humans and chatbots can help to improve the accuracy and effectiveness of chatbot responses, while also providing a more human-like experience for users.