Week 7 Surfing the Tsunami

Learning from others who are experts in a field of interest is usually the best option, according to Surfing the Tsunami. Artificial intelligence (AI) is no different, with many leaders who have provided insight and opinions on what the future holds in relation to AI advancements and the impact on society. Some of these leaders are Andrew Ng, Geoffrey Hinton, Pedro Domingos, Fei Fei Li, Jim Spohrer, and Irving Wladawsky-Berger. Andrew Ng makes AI easily accessible to others by providing free online lecture videos and co-founded Coursera. Geoffrey Hinton focused more on deep learning, advancing technology to function more like the human brain instead of simply data input and output. Pedro Domingos focuses his work on machine learning classes, TEDx talks, and is the author of Master Algorithm. Fei Fei Li focused mostly on visual learning of computer advancements. This can be seen as self-driving or auto-correcting cars. Growing up, I built a robot with my dad and brother at a robotics club. The robot was able to follow a white taped path on a black background. It was fun at the time, but I never would have imagined the advancements to include self-driving cars. Nowadays it is clearly much more complex. 


Jim Spohrer is a computer scientist who programs these AI advancements such as those with pattern recognition. He predicts the next advancements will include episodic memory and common-sense reasoning. His advice for finding a job is to follow your calling and aspirations while also learning from role models in the fields that are interesting to you. Due to AI advancements, there is going to be a shift in the job market. However, Irving Wladawsky-Berger does not think the shift in jobs will be detrimental to society, but rather create new jobs where old ones disappear. The most interesting comparison he made was the recognition that there were more drastic changes made around the 20th century than now with AI advancements. I think he is right with the assumption that AI will not bring forth that level of drastic change. AI tends to build off of itself rather than a massive influx of new inventions. Learning can be more gradual with AI in comparison. Besides, most people do not like change in general and it can take some convincing of the newer technology. I also agree with Mr. Wladawsky-Berger that most jobs cannot be fully automated. Therefore, the shift will most likely not eradicate most jobs, but rather change the overall job description. Hopefully the future advancements will eliminate some of the more mundane tasks. 



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