The recent blizzard of warnings about artificial intelligence and how it is transforming learning, upending legal, financial and organizational functions, and reshaping social and cultural interaction, have mostly left out the role it is already playing in governance. Governments in the US at every level are attempting the transition from a programmatic model of service delivery to a citizen-focused model. Los Angeles, the US's second largest city, is a pioneer in the field, unveiling technologies to help streamline bureaucratic functions from police recruitment to paying parking tickets to filling potholes or locating resources at the library. For now, AI advances are limited to automation. When ChatGPT was asked recently about how it might change how people deal with government, it responded that "the next generation of AI, which includes ChatGPT, has the potential to revolutionize the way governments interact with their citizens."

Artificial intelligence (AI) has seen increasing adoption with its use expanding into fraud detection and even the creative realm, which is commonly perceived to be intrinsically human. Humans, though, still have a role to play in areas that require intuition and morality. Creative AI may seem to be an oxymoron, but AI-powered processes already are at work in activities that thrive on creativity, according to executives at Appier. Based in Taiwan, the SaaS vendor taps AI to build products for digital marketers and brands, processing almost 30 billion predictions a day. Its tools are touted to help these companies deliver richer user experience and identify customers with long-term value.

Recruiting has always been a fundamentally human process, whether it involves one person reviewing an applicant's resume or a candidate participating in a full day of final round interviews. However, that might be changing with the introduction of artificial intelligence (AI) human resource software, which can help with everything from scheduling interviews to conducting reference checks. With an unemployment rate of only 5.2% in August, recruiters need all the help they can get in today's hyper competitive job market. While it was a recruiter's market this time last year, now that the economy is recovering job candidates have more opportunities than ever, and that gives them the freedom to be picky. "There are 300,000 recruiter job openings listed, with millions of job postings. Who is going to help do the high volume hire processing?" says Bennett Sung, the head of marketing at Humanly.io.

Welcome to eSimplicity's Tech Talks blog series! Tech Talks is a series launched by eSimplicity's technical writing interns to discuss various topics within the tech industry. From personal experiences within the company to emergent innovative technologies, eSimplicity aims to gauge diverse perspectives and shed light on engaging topics within the tech sector! In a recent interview, eSimplicity's Lead AI Scientist Bin Shao shared with us his thoughts on the prominence of artificial intelligence, as well as its place in the future. Bin has over 20 years of professional experience in the areas of artificial intelligence, machine learning, computer vision and cybersecurity.

We have briefly discussed the Turing Test approach in one of our previous posts. It gave an understanding of the Four Main Approaches to Artificial Intelligence. Also, we have gone through in detail "Thinking Humanly: The cognitive modeling approach" and saw how to make an AI model think like a human. The first thing that comes to our mind when building a robot is whether it can act like a human. In 1950, Alan Turing's famous paper "Computing Machinery and Intelligence" suggested that instead of asking if machines can think, we should ask if machines can pass a behavioral intelligent test.

Jul 19 · 9 min read Artificial Intelligence (AI) is such a buzz word these days and one thing about buzz words is… 'They often get lost in translation'. But I think it's time we all take a deep breath, exhale, pause… And realize that AI is a well-founded discipline in its own right. Machine Learning and Deep Learning do not define Artificial Intelligence. AI is a much broader field than ML, which is a Statistical subset of AI and DL, which is a specialized subset of ML involving Neural networks computation… ML and DL are Subsets of a much broader field called AI… So what exactly is Artificial Intelligence? To answer this question we must consider the four historical approaches to AI.

AI has become the need of the hour and all the industries are now integrating analytics and AI to drive the decision-making process. Bhagirath Kumar Lader, who is the Chief Manager (Business Information System) at GAIL led us through a session briefing Artificial Intelligence essentials for business leaders in today's age. Lader is one of the key members of the digital transformation team at GAIL and carries huge knowledge about how AI, ML and DL are crucial to businesses. He gave us a quick overview of the motivation for AI, AI essentials, AI hype vs reality while taking us through use cases. While AI is a crucial part of businesses, one of the key drivers of its implementation is its ability to make the decision which is usually considered the forte of humans.

Eliza was created by Joseph Weizenbaum in 1966 at MIT AI Lab. It is the first known chatbot that passed the Turing test. Eliza mocked human communication through pattern matching and substitution. It generated natural dialogs with the help of pre-written scripts. These scripts were able to handle different dialog inputs to respond accordingly.