Text models currently struggle to produce factually correct responses when asked questions about factual information. They can generate responses that appear compelling to laymen but are entirely incorrect. This problem is attributed to the current challenges in natural language processing which include contextual words, homonyms, synonyms, sarcasm, and ambiguity. The negative societal implications of text generation are fake news and the spread of disinformation. It can be used to produce believable content on a massive scale with much greater efficiency and lower barriers to entry. It can also be used for harmful activities like spam, phishing, abuse of legal and government processes, fraudulent academic writing, and pretexting.

Ethics: A branch of philosophy that involves systematizing, defending, and recommending concepts of right and wrong behavior. It seeks to resolve questions of human morality by defining concepts such as good and evil, right and wrong, virtue and vice, and justice and crime. It also has 3 major areas of study which are meta-ethics, normative ethics, and applied ethics. Research suggests the problem-solving skills of a diverse group outperform those of groups comprised of the most talented individuals. It adds different perspectives from people with different identities and experiences that may have privileged access to relevant insights and understandings. It also helps form policies and develops research that better caters to the people's needs.

In the last couple of years, we have heard a lot about chatbots. They are being adopted rapidly by businesses in many industries including banking, entertainment, finance, healthcare and media, to name a few. A study by Business Insider shows 80% of the businesses want chatbots by 2020. This blog aims to answer some common questions about chatbots. A chatbot is a computer program that mimics conversation with people, using artificial intelligence (AI), and are revolutionizing the way we interact with the internet.