Question: QUESTION 1 What are machine learning algorithms good at? (MC) Finding and matching patterns contained in structured data once properly set up. Finding and matching

QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms
QUESTION 1 What are machine learning algorithms good at? (MC) Finding and matching patterns contained in structured data once properly set up. Finding and matching patterns contained in unstructured and semi-structured data once properly set up. Writing poetry and fiction books once properly set up. Finding and matching patterns contained in any dataset once properly set up. QUESTION 2 Who is most likely to be hired to label much of the structured data behind the scene that is being used in the Al Industry? (MC) Politicians. High wage subcontractors. Policemen. Prison Workers (Inmates) Monkeys. Gymnasts. Siri, Alexa, Google Assistant. Celebrities. Scientists and Researchers. White-collar workers with minimum training (we hope). QUESTION 3 What is true about Facial Recognition Algorithms? (MC) Facial Recognition algorithms are poor and totally inaccurate Facial Recognition algorithms are irrelevant to any kind of identification or classification analysis. Facial Recognition algorithms are biased and often uneven in how they treat facial data. Facial Recognition is more accurate than fingerprinting. QUESTION 4 What type of worker will be affected the most by the rapid adoption of Al in the workplace? (MC) Gray-collar worker. Green-collar worker. Robot worker. White-Collar worker Submit to save and imit. Click Save all Ansters to save all ansus QUESTION 5 How are facial datasets (databases) typically populated? (MC-select all the answers that are true) Apple's Face id or similar Facial Scanning applications on mobile phones. Sonic frequency and ultrasound profile scanning. Image scans from a portrait or passport photo. CT Facial Scan. Scraping Social Media sites such as Flickr X-ray facial scan. Facebook, Twitter, LinkedIn, Instagram profiles. Infrared Facial Scan used along with facial algorithms. QUESTION 6 What Al improvement will help researchers the most to speed up the development of new drugs to treat medical conditions? (MC) Newer and faster Al Algorithms. QUESTION 6 What Al improvement will help researchers the most to speed up the development of new drugs to treat medical conditions? (MC) Newer and faster Al Algorithms. Smarter Al Medical Researchers. More educated Al Researchers Faster Al Chips QUESTION 7 In terms of people who are educated and working with Al, what does the world seem to need more of? (MC) Stronger proficiency in team sportsmanship such as field and track, football, basketball, baseball and hockey as undergraduate and graduate level Stronger proficiency in the Pharmacy and Biochemistry coursework on an undergraduate and graduate level. Stronger proficiency in the Criminal Justice subjects on an undergraduate and graduate level Stronger proficiency in Political Science on an undergraduate and graduate level Stronger proficiency in the Anthropology subjects on an undergraduate and graduate level Stronger proficiency in the Math/CIS/Physics subjects on an undergraduate and graduate level QUESTION 8 Which company does the US Government distrust the most in regards to their Al development and deployment methods? (MC) Paypal Sony O IBM O Norelco Huawei Samsung Panasonic Spotify Microsoft Apple QUESTION 9 How might an Al algorithm decide or predict how much you liked what music you listened to on Alexa Music, Spotify or Pandora? (MA-pick all the answers that apply) By your first name By your calculated personality profile prediction (a large pool of respondents survey data that is matched to their Facebook likes and then applied to other profiles (including yours) and predicts how much you liked the music (with a high degree of accuracy). By how much you replay the music. By your height, weight, and gender By listening to your ultrasonic frequency while listening to music, By just asking you after you listened to the music. By how long you replay the music By how many of your virtual friends on Facebook also like the same music By monitoring the impact of the music's pitch, rhythm, and harmony to your neural (brain activity) along with your heat, sweat, and electrical responses to the music By monitoring your facial expression and iris scan QUESTION 10 What is the top Al Game Player circa 2019? (MC) Joo "Zest" Sung Wook DeepMind "Goog" AlphaStar Jung "Mvp" Jong Hyun Lee "Life" Seung Hyun Choi "Polt" Seong Hun Jang "MC" Min Chul Lee "INnovation" Shin Hyung QUESTION 11 Which country spends the most on Al Research? (MC) Greece Japan China Tibet United Kingdom Norway France United States Travolta Singapore Australia Canada Hungary Taiwan QUESTION 12 When an algorithm causes harm who or what is liable for the damages? (MC) The person or company that created the Algorithm The Algorithm At this time it's not yet clear who is responsible because legal frameworks are still evolving to catch up with the rapid innovations in Artificial Intelligence and the details of the harm done. The person or business entity that uses the Algorithm

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