Participants' work

Items

• Should AI be used to assist farmers in their agricultural duties?
  Farmers have the difficult job of feeding a nation. With variable weather patterns, insects, water scarcity among many other affecting yields, many can turn to AI to help them succeed in this competitive environment.
• Should AI be involved with making more robust cybersecurity programs?
  The internet is an increasingly difficult place to navigate while trying to keep sensitive data private. We rely on programs to keep us safe and warn us of dangerous sites.
• Should AI be allowed to be used in the classroom?
  Students come in all sorts of shapes and sizes with different educational needs. It is difficult to give every student the individual attention that they need to grow when a teacher has many students.
• Should AI be used to monitor and alter people’s thoughts?
  In this world, AI can manipulate thoughts through the air. Be careful what you choose.
• Should AI be used to manipulate history?
  In a world where AI had total control over every facet of life, it is possible to rewrite every text to alter history in some way. Would it help humanity to forget about some of its painful parts, or doom us to repeat them without the ability to learn from our past?
• Should AI be used to create a social score for acting properly within a society.
  A social score is a value assigned to individuals based on their interactions with society. It is a culmination of how you act within a society from your personal credit, to relationships with other individuals, your government, and other factors. Machine learning can be used to parse through the large amount of data collected in order to produce the most accurate score.
• Should AI be used in policing a people?
  Machine learning algorithms can be used to identify faces from surveillances feeds. This could be used to keep public spaces safe by identifying criminals and potential threats quickly.
• From a limited dataset of health information collected from volunteers, should healthcare decisions be done using data augmented using generative AI?
  Machine learning algorithms require large amounts of data for training. To compensate for this bottleneck, generative AI promises to create data nearly indistinguishable from the original to supplement the training data and train more robust models.
• When autonomous driving reaches an industry recognized level 5 standard, should AI replace humans in the trucking industry?
• Should AI be used to predict change traffic lights to decrease traffic?
  Pros: Less time spent in traffic. Less pollution from cars stuck in traffic. Cons: How are companies sourcing this data? Will companies be tracking how long we spend at home, work, stores, etc and sell this information?
• Should AI be able to replace surgeons?
  AI surgeons have the ability to make precise incisions, can make decisions on all available biometric data, and will not be subject the necessary evils of the human condition. However, how much does the human component play in the role of surgery?
• Should AI be used in warfare?
  When conducting military operations, we would like to keep our armed forces safe. In our future we have the possibility of removing them entirely with the invention of robotic soldiers and AI controlled aircraft. How reliable are the datasets used to train this technology? What the cost of removing humanity from human wars?