QUESTION 1

1.When an algorithm causes harm who or what is liable for the damages?(MC)

Theperson or business entity that uses the Algorithm.

Theperson or company that created the Algorithm.

At this timeit's not yet clear who is responsiblebecause legal frameworks are still evolving to catch up with the rapid innovations in Artificial Intelligence and the details of the harm done.

TheAlgorithm.

1 points

QUESTION 2

1.What AI improvement will help researchers the most to speed up the development of new drugsto treat medical conditions? (MC)

SmarterAI Medical Researchers.

FasterAI Chips.

Newer and fasterAI Algorithms.

More educatedAI Researchers.

1 points

QUESTION 3

1.Which country spends the most on AI Research? (MC)

Afghanistan

Norway

Japan

Hungary

United Kingdom

United States

Singapore

Greece

Tibet

Australia

Travolta

Taiwan

France

China

Canada

1.5 points

QUESTION 4

1.In terms of people who are educated and working with AI, what does the world seem to need more of?(MC)

Strongerproficiencyin theLiberal Arts and particularly with Philosophy/Ethicssubjects on anundergraduate and graduate level.

Strongerproficiencyinteam sportsmanshipsuch as field and track, football, basketball, baseball and hockeyasundergraduate and graduate level.

Strongerproficiencyin theAnthropologysubjectson anundergraduate and graduate level.

Strongerproficiencyin theEnvironmentalImpact studieson anundergraduate and graduate level.

StrongerproficiencyinPolitical Scienceon anundergraduate and graduate level.

Strongerproficiencyin thePharmacyand Biochemistrycourseworkon anundergraduate and graduate level.

Stronger proficiency in theMath/CIS/Physicssubjects on an undergraduate and graduate level.

Strongerproficiencyin theCriminal Justicesubjects on anundergraduate and graduate level.

Strongerproficiencyinpublic speakingand community serviceon anundergraduate and graduate level.

1 points

QUESTION 5

1.Which company does the US Government distrust the most in regards to their AI development and deployment methods? (MC)

Sony

Norelco

Apple

Panasonic

Paypal

Spotify

Microsoft

Samsung

Huawei

IBM

2 points

QUESTION 6

1.What is thetop AI Game Playercirca 2019? (MC)

Jang "MC" Min Chul

Joo "Zest" Sung Wook

Choi "Polt" Seong Hun

Lee "Life" Seung Hyun

Lee "INnoVation" Shin Hyung

Jung "Mvp" Jong Hyun

DeepMind"Goog" AlphaStar

2 points

QUESTION 7

1.How arefacial datasets (databases) typically populated? (MC - select all the answers that are true)

X-rayfacial scan.

Apple's Face idor similar Facial Scanning applications on mobile phones.

CT Facial Scan.

Facebook, Twitter, LinkedIn, Instagram profiles.

Sonic frequency andultrasoundprofile scanning.

Scraping Social Mediasites such asFlickr.

InfraredFacial Scan used along with facial algorithms.

Image scansfrom a portrait or passport photo.

2 points

QUESTION 8

1.What type of worker will be affected the most by the rapid adoption of AI in the workplace?(MC)

Blue-collarworker.

Green-collarworker.

Gray-collarworker.

Taxi-Drivers!

Algorithms that power the Robot Workers.

White-Collarworker.

Robotworker.

1 points

QUESTION 9

1.Who is most likely to be hired tolabel much of the structured data behind the scenethat is being used in the AI Industry?(MC)

White-collarworkerswith minimum training (we hope).

Gymnasts.

Scientists and Researchers.

Siri, Alexa, Google Assistant.

Policemen.

High wage subcontractors.

Politicians.

Monkeys.

Celebrities.

Prison Workers(Inmates)

1.5 points

QUESTION 10

1.How mightan AI algorithm decide or predict how much you liked what music you listened to on Alexa Music,Spotifyor Pandora? (MA - pick all the answers that apply)

By justasking youafter you listened to the music.

Byhow many of your virtual friends on Facebookalso likethe same music.

By monitoring yourfacial expressionand iris scan.

Byhow long you replaythe music.

By yourcalculated personality profile prediction(a large pool of respondents survey data that is matched to theirFacebook likesand then applied to other profiles (including yours) and predicts how much you liked the music (with a high degree of accuracy).

By howmuch you replaythe music.

By yourfirst name.

By yourheight,weight, and gender.

Bymonitoring the impact of the music'spitch, rhythm, and harmony to yourneural (brain activity) along with yourheat, sweat,and electricalresponses to the music.

By listening toyour ultrasonic frequencywhile listening to music.

2 points

QUESTION 11

1.What istrueaboutFacial Recognition Algorithms?(MC)

Facial Recognition algorithms are irrelevant to any kind of identification or classification analysis.

Facial Recognition algorithms arebiasedand often uneven in how they treat facial data.

Facial Recognition is more accurate than fingerprinting.

Facial Recognition algorithms are poor and totally inaccurate

1 points

QUESTION 12

1.What are machine learning algorithms good at?(MC)

Writingpoetry and fiction booksonce properly set up.

Finding and matchingpatterns contained instructureddataonce properly set up.

Finding andmatchingpatterns contained inunstructured and semi-structureddataonce properly set up.

Finding andmatchingpatterns contained inanydatasetonce properly set up.