(Artificial Intelligence – Applied Research and Industry Focus)
Great responsibility follows inseparably from great power. As the horizon of this digital age unfolds in front of us, we stand at the cross-roads today which gives rise to two differing perspectives about the times to come.
How will machines impact what humans do in the future? A critical question that confronts policy makers is how to think about human employment in an era of increasingly intelligent machines that are capable of sophisticated decision making.
‘Black Box’ is the term used to refer to obscurity around functioning of an algorithm between its input(s) and the output(s). This germinates a trust deficit between humans and AI enabled systems in place.
Performances by Shabana Azmi, Javed Akhtar and Jaswinder Singh
Education must be seen from multiple perspectives when mulling the role of AI in this industry. Education is not only necessary for making an individual job-ready but is also important in making him/her understand concepts like principles & morals, acknowledge likes-dislikes, differentiate between good-bad etc.
AI is set to have a revolutionary impact in the Manufacturing Industry and be a key driving factor of Industry 4.0. AI powered manufacturing includes automation taking over repetitive jobs on the one hand and creating better designs, processes and solutions on the other hand leading to higher productivity, better quality and optimum utilization of resources.
821 Million! That’s the estimated number of people who did not get enough food in 2017. Thanks to climate change, among other factors, this number has been rising continuously since 2014. Increasing arid regions, changing seasonality and an ever-increasing population demands an agricultural revolution across the globe.
In this session, we will unveil itihaasa Research and Digital's report on the Landscape of AI/ML Research in India. The panel will discuss ideas to nurture the AI Research Ecosystem in India including enhancing AI student researcher talent, augmenting computing infrastructure, and establishing institutional mechanisms for conducting multi-disciplinary research and translational research.
India’s startup ecosystem has evolved in the last several years to be ranked 3rd largest startup ecosystem in the world, producing several unicorns. With a strong momentum, the latest trends are on building deep tech startups and b2b startup.
By their very nature AI techniques need not be always correct, and may exhibit undesirable bias, or result in unsafe behavior. In this session we will discuss whether AI needs governance, and if so at what level, i.e. at the intra-enterprise, industry, national or even international level, and in which contexts. For example, arenas that might need governance could include autonomous vehicles, weapons, algorithmic inclusion/exclusion from state/financial sector benefits (loans etc.), clarifying ownership of data (telematics/health/location etc.), and industrial/public safety (in the robotics context).
Action Plan for India Cocktail/Dinner for Distinguished IIT Allumni, Speaker and special Invitees.
Sessions might subject to change before the event.
Globally, financial services have always attracted bright engineers, PhDs and statisticians for “quant” roles to perform high frequency trading, options structuring, loan decisioning. Since the 1970s in the US and late nineties in India, logistic regressions have become the new loan officers.
A popular AI for healthcare platform named Watson has already begun handling patient concerns about their upcoming surgery through an interactive digital concierge. Yet, there have been instances where the current stage of AI with minimal training is not fully equipped to solve healthcare problems at large and there were some setbacks too.