Pamela McCorduck is an artificial intelligence (AI) expert and an author. She has written 10 books, the newest one comes out this month and it is titled: This Could Be Important: My Life and Times with the Artificial Intelligentsia. Pamela first became interested in AI when she was studying at the University of California, Berkeley. She was an English major, but she had a job typing in the business school, which is where she met some of the "fathers of AI". Two assistant professors in the business school who she became acquainted with through her job approached her to see if she could help them work on a book.

Prime Minister Narendra Modi has urged business leaders and technocrats to build a bridge between the artificial intelligence and human intentions. In fact artificial intelligence has penetrated several aspects of our life in the past few years . The govt on its part has also been vocal about its intention to mainstream AI applications and several ministries along with NITI Aayog have come up various recommendation yo enhance the use of AI. So what are various policies on this aspect and how can they be used to further implement AI in emergening areas.

Self-driving scooters could soon be whizzing around without riders in a tech development designed to improve cities' transport-sharing networks. A California-based start-up, Tortoise, is working on self-driving technology with which bikes and scooters drive themselves home after someone has used them. And taxi-hailing app Uber announced earlier in the year that it was working towards the same goal. Set to launch next month, the initiative is a progression for the temporary bike, scooter and Segway hire schemes which already exist around the world. It could mean fewer of the bikes and scooters are left lying around in obscure places and that they all return to charging stations or busy areas when not in use.

An ethical line may have been crossed by neuroscientists who have created mini-brains from human tissue that can feel and may even suffer, experts have warned. So-called organoids are blobs of lab-grown tissue cultivated from human stem cells to resemble tiny organs -- in this case, the brain. Although these mini-brains may only be the size of peanut, they have been observed to develop spontaneous brainwaves, not unlike those that seen in premature babies. Organoids are considered a significant development in neuroscience, as they allow researchers to study brain tissue free of the usual constraints. These simulacra are used to investigate such disorders as autism and schizophrenia, and the impact of Zika virus on the development of brains in the womb.

Smarter Humans, Smarter Machines was the core theme of our closed-door #RefinitivSocial100 UK roundtable held in September 2019, with 10 of the UK and Europe's most influential thinkers and thought-leaders on social media in the world of FinTech. Hosted by Refinitiv CEO David Craig and Ben Shepherd, Chief Strategy Officer, and moderated by Amanda West, SVP Innovation Refinitiv Labs, we held a near 2 hour-long discussion on the future of artificial intelligence and the challenge of poor data quality in financial institutions. The main question that everybody was seeking to answer was: Is poor data quality hindering the deployment of machine learning (ML) by financial services companies? "Banks have been saying for a very long time that the data they have is messy and needs to be cleaned. "When we imply that the data might be wrong, we are of course implying that the ultimate decision you make, the automated, autonomous decision made by the AI, having gone through machine learning, could be wrong". FinTech and digital payments advisor, Neira Jones (@neirajones) agreed that using bad data in ML somewhat defeats the object. "Years ago, when we had huge data warehouses… you would have time to clean up your data.

Confirming popular perception that we are being watched, a report by the Carnegie Endowment for International Peace said that more countries, led by China, are deploying artificial intelligence to monitor the whereabouts of its citizens. According to the report, at least 75 of 176 countries globally are actively using AI technologies for surveillance purposes. The report said 56 countries are using smart city/safe city platforms, 64 are using facial recognition systems, and 52 are using smart policing. China's strong technological base is an enabling factor in the growth of AI surveillance. The report noted that Technology linked to Chinese companies--particularly Huawei, Hikvision, Dahua, and ZTE--supply AI surveillance technology in 63 countries, with Huawei alone is responsible for providing AI surveillance technology to at least 50 countries worldwide. The next largest non-Chinese supplier of AI surveillance tech is Japan's NEC Corporation, whose technology is being deployed in 14 countries.

The Pentagon's Joint Artificial Intelligence Center has partnered with the General Services Administration to accelerate government's AI use with a new Center of Excellence initiative. "The new GSA-DoD partnership reflects the ongoing success of the Center of Excellence initiative. In alignment with the Administration's strategy for ensuring American leadership in the industries of the future, the AI CoE program will build the capacity to deliver AI solutions throughout the federal government," Chris Liddell, White House deputy chief of staff for policy coordination, said in a statement. JAIC will rely on expertise from the GSA Technology Transformation Services team, and will look to push military advances in AI technology to the civilian sector. "We believe that the opportunities for applying AI in government are significant," TTS Director Anil Cheriyan said in a statement, adding that the effort will "build a foundation to reuse our AI expertise to improve citizen experiences across government."

Evolution and decision-making are not immediately linked in our minds; however, as it turns out, algorithms inspired by biological evolution are the key to augmenting decision-making in a wide variety of business use-cases. But let's start with the problem statement. My team and I are continually engaged in conversations with enterprises from various industries about their expectations for artificial intelligence. Often, we learn they're seeking better ways to model the data that flows through their systems. These questions are all about using AI to produce more insights.

Abstract: After more than 30 years in academia researching in the area of AI, as a student and as a faculty, I joined JPMorgan to create and head an AI research group. In this talk, I will present several concrete examples of the projects we are pursuing in engagement with the lines of business. I will focus on areas related to data, learning from experience, explainability, and ethics. I will conclude with a discussion of my current understanding of the transformational impact that AI can have in the future of financial services. Bio: Manuela M. Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction.

Chris Finch stops by to discuss AI in Healthcare and Pharma. IN 100 words or less, what is your chatbot or AI Voice app and why? BIO: Chris Finch is Managing Director at earthware, a healthcare digital creative agency specialising in AI and chatbots. Prior to joining earthware in 2010, Chris held various commercial roles at global pharmaceutical company Schering-Plough. Chris is a regular speaker and author on digital marketing in the pharmaceutical sector and is a thought leader on the use of chatbots in healthcare, having led earthware's clients in launching the first pharmaceutical brand chatbots in the UK and Europe.