Augmented  Artificial Intelligence for Social good, Data & AI Ethics highlighted at  ASEI’s 2021 AI Summit 
                              
                Los  Angeles, April. 28, 2021 
                  NRIpress.club/Ramesh/  A.Gary Singh 
                The  American Society of Engineers of Indian Origin (ASEI) convened an AI Summit with a number of  researchers, authors, speakers and experts covering Artificial  Intelligence  from multiple perspectives:  Augmented Intelligence with Data, AI/ML Solutions for social benefit and  Artificial Intelligence Applications for the enterprise & AI Ethics  
                Opening  the summit, Divya Ashok, who serves as VP of Innovation and Strategy at  Salesforce, introduced the AI Summit Chair Piyush Malik who has been working in  the Data & AI domain for over 25 years, currently as the Senior Vice  President at SpringML, a Google partner startup in Silicon Valley. Piyush gave  a bird’s eye view of the AI landscape, the real life and enterprise application  opportunities as well as set the stage for the plenary segment where the theme  was AI for Society. He recognized   the  contributions of AI pioneer  technologists and Turing awardees over the past 7 decades including Prof  Raj Reddy, the first Asian and the only  Indian origin person to have won the Nobel prize of computing (i.e. Turing  Award for AI) in 1994 long before the current euphoria over AI was commonplace. 
                    
    Vilas Dhar,   President and Trustee of thePatrick J. McGovern Foundation  (PJMF), gave a message of support  from PJMF to ASEI as we work towards our shared vision for AI - powered yet  human-centric ethical endeavor for the benefit of society as we  explore the future of meaningful work through  youth empowerment. PJMF is a 21st century philanthropy advancing artificial intelligence  (AI) and data solutions to create a thriving, equitable, and sustainable future  for all. Vilas,  a biomedical engineer by initial training is an entrepreneur, technologist, and  human rights advocate with a lifelong commitment to creating more robust,  human-centered social institutions. His message of support for AI for social benefit  and data philanthropy fostered through  interactions with ASEI leadership was complemented by the next speaker Dr  Sundar Sundareshwaran, AI Fellow at the World Economic Forum (WEF) where PJMF  is a supporter. 
   
    
                 
                At WEF, Dr Sundar is co-creating a governance  framework with a multi-stakeholder community for the use of Chatbots in  healthcare amongst other initiatives which he talked about in detail having an  impact in the COVID era.  Sundar  represents Mitsubishi Chemical Holdings  Corporation in his role at WEF’s Centre for the Fourth Industrial Revolution.  He  is a seasoned technologist with  research, development, P&L and executive leadership experience. With a  Master’s degree in Natural Language Understanding and a PhD in Computer Vision,  Sundar has made numerous research contributions in robotics, neural networks,  human computer interaction, virtual/augmented reality and autonomous vehicles.  His plenary talk at the AI summit gave a broader view of the Policy impact AI  is having at the World stage and he welcomed the opportunity for ASEI members  to join hands in making the world a better place through fair use of AI rather  than fearing from it. On behalf of ASEI, Piyush portrayed the excitement of  being able to work with evangelists, policymakers, data and AI professionals  and social changemakers at the WEF and PJMF. 
                  
                In the next section of the summit  three  authors spoke about their respective  work and the impact each of them are having in the field of AI.  Anyone who has tried to learn GCP or machine  learning with Google technologies would have seen Dr Valiappa (Lak) Lakshmanan  in action via his Coursera lessons and  courses. Lak as he is popularly known, serves as the Director for Data  Analytics and AI Solutions at  Google  Cloud. Previously as a Director at the Climate Corporation, he led a team of  data scientists building probabilistic estimates of past, current and future  weather. Currently with his team he   builds software solutions for business problems using Google Cloud's  data analytics and machine learning products but he is very passionate about AI for Social good on which he spoke at  length. Real world proof points and examples in the field of flood control,  agriculture, healthcare etc were shared with the summit audience which resulted  in a lot of interactive chats and Q&A. 
    
    
                  ASEI Michigan chapter president Muthu  Sivanantham introduced and facilitated discussion with the next two  speakers.  Dr Raj Ramesh, a TEDx speaker  who happens to have a doctorate in AI was the next author to speak. He has  broad experience with digital transformation and helps  organizations bring together complementary  strengths of machines and humans to effect grand change.  His talk featuring interesting doodles and  interactive audience participation surveys was patterned on his recent book,  “AI & You” and he advised how to co-exist with machines by sharing  how to think, thrive, and transform in an AI  driven future. 
  “AI will present a lot of opportunities  in the future.  Sure, some jobs will be  replaced, but each of us can leverage our knowledge, passion, and experience to  position ourselves at the forefront of this cognitive revolution” - Dr Raj  Ramesh at the ASEI AI Summit 
                 
                The next speaker Ashish Bansal with his  cool demeanour brought to light an example of how rubber meets the road in AI  though Models in Natural Language Processing. NLP is a topic of increasing  attention given the recent popularity of Open AI’s GPT3 model and discussions  of “AI creating AI”. Ashish has previously worked in AI/ML  & Recommendation systems  for Twitter and Capital One and currently is  a Director at  Twitch. His recent book  Natural Language Processing with Tensorflow was discussed in brief as well. 
    
                  Final section of the AI Summit was the  “Women in Data & AI” segment facilitated   by Vatsala Upadhya and featured a lively and colorful “Ethics in AI”  discussion between  Dr Sindhu Joseph, CEO  of Cognicor with 6 Patents in AI, and Bala Sahejpal, SVP at DataRobot with  Piyanka Jain, President and CEO of Aryng moderating. 
    
                Issues of bias, reproducibility ,  transparency and equity and inclusion in   data and AI from people of color perspective was discussed as well as  importance of governance and building checks and balances in the development  and testing of AI systems was deliberated  
                  Bala is an accomplished leader with over  25 years of experience and a proven ability in leading cross functional global  teams for building Data and Analytics solutions delivering enterprise success  while securing multimillion-dollar savings for diverse business functions. She  shared what made her interested in AI infused   automation and drove her towards joining DataRobot after stints at  Cisco/Appdynamics, Juniper and Netapp. 
                  Piyanka has two Master’s degrees, with  her thesis involving applied mathematics and statistics. Before founding Aryng,  she was the Head of Business Analytics at PayPal-North America.She happens to  be a bestselling author of “Behind every Good Decision”  and a regular contributor to Forbes, HBR,  InsideHR, TDWI, Experian, Modern Workplace, Predictive Analytics World, etc.  Her efforts over the years have driven $1b+ in business impact for her clients.  Injecting her 20+ years of Data & Analytics experience during the panel  discussion, she said “As AI becomes more prevalent, AI literacy for leaders and  AI governance are two ‘must-haves’ to truly capitalize on the power of AI to  drive significant business value while staying clear of AI fiasco like Tay” 
                  Recounting the  challenges that are faced in the adoption of ethical AI, Dr. Sindhu Joseph,  founder, and CEO of CogniCor, which provides a digital assistant platform for  financial services, said - "AI is not just scaling solutions, but  amplifying the historic biases embedded in our society. Given that the most popular  branch of AI namely ML/DL learns its models from historic observations, our  inherent biases make their way into the data sets, making a small, select, and  often homogeneous group of developers, organizations as guardians of fairness.” 
                 This session underscored the need for  diversity in organizations and in startups developing AI algorithms and  attention and investment in branches of AI that have the potential to bring  about fairness.  
                The interactive Q&A sessions and chat  texts continued to buzz throughout the nearly 4 hour conference with an engaged  audience. The most interesting audience questions and some early bird  participants won 10 books courtesy the three   authors and publishers. Proposing the vote of thanks, Raju Sreewastava,  CEO of Big Data Trunk announced the list of winners. 
                  
                  
  
  
  
                  
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