Artificial intelligence (AI) can not only have a technical advantage in the industry, but can also help improve people's lives. All it needs is proper direction to overcome the challenges of research and its thinking in a unified manner. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay AI fights for homelessness and HIV through a naive process. Initially, people spoke to 4-5 homeless people as their peers, but this was not feasible due to training costs. By bringing AI into play to capture which nodes most influence the influence maximization problem, I strongly believe that AI has the potential to reduce effects that could help us reduce homelessness. Bryan talked about the influence maximization algorithm facing difficulties due to the poor records of n. of homelessness, which could require weeks of effort to conduct in-person interviews. Bryan talked about how these AI techniques could then lead to community structure and the friendship paradox. While the community paradox has difficulty in a certain environment, while the friendship paradox works by examining a random node and then examining its neighbor to generate a better result in influencing the nodes. I think this could save us time and effort and help us put more effort into the areas where we are actually getting results, in our case deciding on peer leaders. I think there could be an alternative to this solution by combining technological with non-technological and believe that the government together with the educational institution could offer a helping hand to the homeless. Having adequate health education is crucial at this stage to prevent the spread of HIV. Instead of asking peer leaders to come to them, we could hold weekend workshops for them in their locality and invite them, collect their data and apply a machine learning algorithm to solve the problem in that area. Furthermore, by collecting family data from the city department we can establish a law to protect every family from homelessness by creating an anti-homeless service. The collected data could be passed through various machine learning algorithms including random forests, neural networks, boosted trees, and logistic regression. This would help us analyze that families who are likely to face homelessness also turn to the anti-homeless service. This would better define the goals of eradicating homelessness and HIV. The goal of this idea is to not only help the homeless, but also prevent homelessness. Please note: this is just an example. Get a custom paper from our expert writers now. Get a Custom Essay I think Bryan did a great job explaining the present condition and various algorithms to deal with such conditions. The concepts were clearly articulated using algorithmic formulas and graphs, although I believe it could have been improved if it had also considered other cases, instead of simply eliminating homelessness, prevention is equally important and necessary. His thoughts were well received by the public, implementing such a huge social problem using artificial intelligence and machine learning is a huge task. I really appreciate his work. Also, it would have helped him demonstrate well if he presented an interview with the homeless, he could help the audience to really visualize the whole situation. Overall it is.