Google's search chief warns against solely relying on AI chatbots for accurate information

head of Google's search division, Prabhakar Raghavan, has warned against relying solely on AI chatbots to provide accurate information. He stated that se chatbots can sometimes generate false answers that appear to be truthful. Raghavan referred to this as "hallucination," where a machine produces a plausible but entirely fake response, as per a report from Sky news. Despite this, Google recently unveiled its own AI chatbot named Bard, which y hope will compete with ChatGPT. However, an advertisement for Bard showed it providing an incorrect answer to a question about James Webb Telescope.

Shares of Alphabet, parent company of Google, plummeted due to recent error and growing concerns about potential threat posed by ChatGPT to Google's search dominance. Raghavan has emphasized importance of releasing Bard to public but also ackwledged great responsibility that comes with it. company is exploring how to integrate AI capabilities into its search functions, especially for questions that have multiple answers. comments come after some criticized Google and CEO Sundar Pichai for poorly executed launch of Bard. Maarten Bosma, a former research engineer at Google Brain, pointed out that presentation demonstrated company's lack of commitment to AI.

What is AI and how does it work?

Artificial intelligence (AI) is a branch of computer science that aims to create intelligent machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and langu translation.

re are several different approaches to AI, but most common methods include:

Machine learning: This involves feeding large amounts of data into algorithms, allowing algorithms to learn patterns and make predictions or decisions based on that data. re are different types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.

Natural langu processing (NLP): This involves enabling machines to understand, interpret, and generate human langu. NLP is used in applications like langu translation, text-to-speech, and sentiment analysis.

Robotics: This involves development of robots that can perform physical tasks and interact with world in a human-like way. Robotics often involves combining AI techniques with engineering and physical design.

Deep learning: This is a subfield of machine learning that is inspired by structure and function of brain, called artificial neural networks. Deep learning algorithms can be used for tasks like im and speech recognition.

At a high level, AI works by allowing machines to learn from data, make predictions or decisions based on that learning, and continually improve as y are exposed to more data. success of AI depends on quality of data, algorithms used, and computational resources available to run those algorithms.