The most surprising piece of information I learned from the interview between Professor Goodman and Dan Gilbert was the categories of human belief and how these affect prediction. It was very fascinating to hear about the two different categories of human belief in regards to prediction, the first; being certain of an outcome and the second; being unsure and seeing it as a possibility that the given event may occur. The most intriguing part of the discussion occurred when Professor Goodman and Dan Gilbert discussed the 'margins' of human interpretation of probability and when a change in probability has a seismic effect upon behaviour is when an event could occur in contrast to when it is certain to occur. As an example, if there is an 80% chance that an event will occur versus to an event definitely occurring, makes a huge difference to people, however objectively the difference in chance is not as great. If I were to have conducted the interview I would have asked Dan Gilbert why people still choose to fill out march madness brackets, when in aspiration of the billion dollar prize, although their chances are so slim they have a better chance winning the lottery?

The most surprising piece of information I learned from Professor Goodman's interview with Ben Schneiderman was in relation to the ethics of Artificial intelligence. Professor Schneiderman countered this question from one of the undergraduates who was part of the panel, by stating that the ethical boundary AI or machine learning should have depended upon it spectrum of use. Nowadays society is scared of the transformative nature of AI and the speed it is developing at. On the one hand, this fear is rationale, as this transformative tool could fall into the wrong hands and could potentially be abused. However, in the overwhelming majority of cases AI and its transformative nature will do go and be a 'tool' to help humanity. Additionally, Professor Schneiderman posed another good counter when confronted with the question of who would bear liability for an AI surgeon who causes damages or even a fatality. Although, he did go on to comment that the machines would likely be insured and that insurance companies could carry the burden. A question I would have liked to ask is whether Artificial intelligence will take over human jobs and if this crosses an ethical threshold and could be deemed as unethical? I would incredibly intrigued to know Professor Schneiderman's answer, as this has been a growing discussion globally, with many people growing more scared of the 'AI takeover'. However, the reality is that only a select amount of jobs will ever be completely taken over by AI, rather AI will become a tool to enhance human performance. On the contrary, there are some lower middle-skill jobs, which will likely be completely taken over by AI.

The Interview between Professor Goodman and Dan Kamen was particularly interesting due to its mulit-layered nature. I initially thought that I was in for a climate change talk which vouched for the accuracy of most climate change models and that the world is doomed. However, I was pleasantly surprised by the variety of interesting and up-to date topics which were addressed. The most surprising piece of information I learned was the importance of communication through social media in regards to climate change models. On the one hand, I thought Mr. Kamen's point in relation to feelings of privacy nowadays in contrast to a time prior to social media was also incredibly interesting. Deducing that our standards of privacy are much lower nowadays. However, I thought that his argument on almost everyone having access to social media is flawed. Additionally, the quantification of climate change is something which always strikes people more heavily than simply giving them a doomsday timeframe as the late 20X0's appear much further than it is in reality. If I were to interview Mr. Kamen, I would likely have asked him how social media could help refine the accuracy of climate change models, while questioning what medium of communication could be used in order to spread climate change efforts or report data. I would also like to ask whether the data collection via social media could be helpful. Link to interview: https://www.labxchange.org/library/pathway/lx-pathway:825945a0-367c-45dc-82b7-3d160c6e6f7a/items/lx-pb:825945a0-367c-45dc-82b7-3d160c6e6f7a:lx_simulation:fa741ca2?source=%2Flibrary%2Fclusters%2Flx-cluster%3AModernPrediction