#ai #artificialintelligence #aiforgood
Mayank Kejriwal is a Research Assistant Professor in the Department of Industrial and Systems Engineering, and a Research Lead at the USC Information Sciences Institute. His research has been funded by programs such as DARPA LORELEI, CauseEx, MEMEX (covered in the press by 60 minutes, Forbes, Scientific American, WSJ, BBC, Wired and several others for its success in spawning real-world systems for tackling human trafficking), AIDA and D3M projects. Prior to joining ISI in 2016, he obtained his Ph.D. from the University of Texas at Austin. His dissertation, titled "Populating a Linked Data Entity Name System", was awarded the Best Dissertation Award by the Semantic Web Science Association in 2017. He is also the author of "Domain-specific Knowledge Graph Construction" (Springer), which has been downloaded thousands of times in the last year and is available internationally.
Dr. Kejriwal is a passionate advocate of using Artificial Intelligence technology for social good, and regularly collaborates with domain-experts to build such systems. He has given talks and tutorials in international academic and industrial venues, most recently serving as a roundtable speaker and participant (on using AI for fighting child trafficking) at the Concordia Summit that was co-held with the UN General Assembly in New York City in September, 2019. Therein, he was co-author of a multi-organization whitepaper on using AI to fight child trafficking. The myDIG system, which he co-built and co-authored and that was a product of the MEMEX program, was nominated for a Best Demonstration award at the prestigious AAAI conference in 2018.
https://www.linkedin.com/in/mayankkejriwal
https://twitter.com/kejriwal_mayank
Time Stamp
0:00 to 01:57- Intro & Background
01:57 to 03:59- What is Knowledge Graphs & its Role in AI
03:59 to 08:55- How to Build Knowledge Graphs & its Applications
08:55 to 14:34- Knowledge graphs & understanding the world
14:34 to 18:11- Can Knowledge Graphs help reduce machine hallucination
18:11 to 21:02- Knowledge Graphs & its Applications in E-com
21:02 to 28:40- Knowledge graphs for Human Trafficking
28:40 to 32:28- LLM’s gaining general-purpose knowledge
32:28 to 37:18- Artificial General Intelligence by 2030
37:18 to 38:31- Will ChatGPT replace Coders
38:31 to 42:06- Artificial Super Intelligence & Sentient AI
42:06 to 44:01- Over Hyping AI
44:01 to 51:55-Democratization of AI, Public perception of AI
51:55 to 54:48- AI Regulation & the Danger of underestimating AI
54:48 to 01:03:12- AI Existential Threat & building successful companies with ChatGPT
01:03:12 to 01:10:22- Approach to building AGI & peers doing it right
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