A) Moral principles guiding behavior on platforms like Facebook and TikTok B) Tips for gaining more followers C) Ways to increase engagement rates D) Legal rules for social media advertising
A) 6.1 billion B) 3.2 billion C) 1.5 billion D) 4.7 billion
A) Privacy B) Transparency C) Accountability D) Avoidance of Harm
A) Privacy B) Accountability C) Transparency D) Truthfulness
A) Respect for Privacy B) Accountability C) Avoidance of Harm D) Transparency
A) Privacy B) Accountability C) Transparency D) Truthfulness
A) Data privacy B) Cyber security C) Online presence D) Digital footprint
A) Who owns user content B) How platforms make money C) Whether speech should be completely unrestricted D) Balancing free speech with community safety
A) Parody and satire B) Disagreements with government policy C) Hate speech and incitement to violence D) Negative product reviews
A) Optional B) Ethical C) Unethical D) Illegal
A) Required B) Legal C) Ethical D) Unethical
A) Transparency fairness and due process B) Speed of content removal C) Number of moderators hired D) Profit and user growth
A) Governments B) Internet service providers C) Advertising agencies D) Social media platforms
A) Laws restricting dissent or privacy B) Choosing which platform to use C) Setting advertising rates D) Paying taxes on social media revenue
A) Germany B) China C) Australia D) Canada
A) GDPR B) PIPEDA C) CCPA D) LGPD
A) Donald Trump B) George W. Bush C) Joe Biden D) Barack Obama
A) Individual privacy B) Internet speed C) Advertising revenue D) Society
A) Better social skills B) Improved self-esteem C) Anxiety and depression D) Higher productivity
A) Content quantity B) Mental health C) Advertising revenue D) User engagement
A) Hardware compatibility B) High subscription costs C) Slow internet speeds D) Peer pressure online harassment and unrealistic beauty standards
A) True information shared privately B) False information shared deliberately C) Opinion presented as fact D) False information shared without harmful intent
A) Private information made public B) Accidental error in reporting C) False information shared without intent D) False information shared deliberately
A) Platform algorithms B) Misinformation and disinformation C) Free speech D) Censorship
A) Snopes B) Turnitin C) Wireshark D) Copyscape
A) Profitable B) Popular C) Truthful D) Entertaining
A) Complex and automated B) Transparent and accountable C) Secretive and efficient D) Minimal and simple
A) Tagging friends B) Sharing memes C) Liking posts D) Exclusion
A) It only happens on one platform B) It requires police reports C) It can be anonymous and persistent D) It is not against the law
A) UK B) Australia C) USA D) Canada
A) Academic cheating B) Financial fraud C) Identity theft D) Impersonation and emotional manipulation
A) Ban all B) Protect proactively C) Ignore reports from D) Restrict posting by
A) It is ignored B) It is encouraged C) It is acceptable D) It is illegal
A) Only legal punishment B) Ignoring minor cases C) Empathy and intervention D) Relying on automation
A) Sponsorships and partnerships B) Posting frequency C) Follower counts D) Content length
A) Ignore and repost B) Modify and claim C) Delete and forget D) Credit and ask permission
A) Free speech B) Voter turnout C) Public discourse D) Election speed
A) Higher prices B) Less regulation C) Ethical ad standards and data minimization D) More aggressive advertising
A) Share unverified news B) Post as much as possible C) Ignore all comments D) Pause before posting fact-check and cite sources
A) Increase profits B) Protect users C) Collect more data D) Remove all ads
A) Physical robots only B) Manual data entry systems C) Technologies performing tasks requiring human intelligence like reasoning and decision-making D) Basic calculators
A) Human instructions B) Hardware upgrades C) Internet speed D) Data
A) 2020s B) 2000s C) 1980s D) 1950s
A) 2010s B) 2020s C) 1950s D) 1980s
A) 2000s B) 2020s C) 1950s D) 1980s
A) Finance B) Healthcare C) Transportation D) Retail
A) Healthcare B) Transportation C) Finance D) Retail
A) Credit scoring B) Inventory management C) Personalized shopping D) Customer service chatbots
A) Transparency B) Bias and Fairness C) Privacy D) Accountability
A) Accountability B) Privacy C) Transparency D) Bias
A) Privacy B) Accountability C) Transparency D) Bias
A) Data with no errors B) Data that is perfectly balanced C) Data collected from one person D) Data reflecting historical inequalities or stereotypes
A) The internet connection B) The hardware specifications C) The user interface D) The algorithm's design
A) International applicants B) Female candidates C) Senior citizens D) Male candidates
A) Incomplete or non-representative datasets B) Data without any errors C) Perfectly accurate data D) Homogeneous data from one source
A) Reducing data collection B) Ensuring diverse datasets representing wide populations C) Removing all human oversight D) Using only one data source
A) Data deletion B) Code compilation C) Model training D) Algorithmic auditing
A) Ignore B) Increase C) Reduce D) Patent
A) Performance B) Privacy C) Cost D) Speed
A) Surveillance B) Agriculture C) Education D) Entertainment
A) Amazon hiring bias B) Tesla accident C) Cambridge Analytica D) Uber crash
A) Differential Privacy B) Open Data C) Federated Learning D) Data Encryption
A) Federated Learning B) Data Encryption C) Cloud Computing D) Differential Privacy
A) DMCA and EULA B) PIPEDA and LGPD C) GDPR and CCPA D) NDA and SLA
A) Accountability B) Privacy C) Fairness D) Transparency
A) Federated Learning B) AI Responsibility C) Differential Privacy D) Human-in-the-loop
A) Accountability B) Bias C) Transparency D) Privacy
A) Social media ethics B) Copyright law C) AI accountability D) Patent protection
A) Overly simple B) Highly secure C) Too slow D) Not transparent
A) To increase speed B) To simplify code C) To reduce cost D) To maintain trust
A) Low-skill repetitive B) Executive management C) High-skill creative D) Research and development
A) Data privacy B) Copyright enforcement C) Automation's social impact D) Ethical AI design
A) Economic displacement B) Digital rights C) Patent protection D) Fair use
A) Ignoring the problem B) Universal Basic Income C) Banning all automation D) Reducing technology investment
A) Fairness B) Transparency C) Privacy D) Accountability
A) Privacy B) Fairness C) Transparency D) Accountability
A) Risk-based B) Voluntary C) Industry-only D) Zero-tolerance
A) Canada B) China C) Germany D) United States
A) Black box problem B) Bias dilemma C) Trolley problem D) Turing test
A) AI surveillance and privacy concerns B) Job automation C) Healthcare AI D) Patent protection
A) Conduct behavior and attitude in a work or business environment B) The salary an employee earns C) The number of years at a company D) A specific job title
A) Hierarchy B) Secrecy C) Respect D) Competition
A) Accountability B) Respect C) Integrity D) Excellence
A) Excellence B) Integrity C) Respect D) Accountability
A) Excellence B) Respect C) Accountability D) Integrity
A) Accountability B) Integrity C) Respect D) Excellence
A) Continuous improvement B) Integrity C) Excellence D) Accountability
A) Appearance and behavior B) Time management C) Teamwork D) Communication skills
A) Integrity B) Professionalism C) Accountability D) Punctuality
A) Body language B) Appearance and grooming C) Polite and respectful communication D) Time management
A) Email etiquette B) Positive body language C) Verbal communication D) Active listening
A) Avoiding jargon and being direct B) Using many technical terms C) Speaking as fast as possible D) Using complex vocabulary
A) Body language B) Professional email etiquette C) Time management D) Active listening
A) Passive listening B) Interrupting C) Active listening D) Professional emailing
A) Punctuality B) Professional appearance C) Ethical behavior D) Networking
A) Continuous learning B) Ethical behavior C) Teamwork D) Time management
A) Accountability and responsibility B) Continuous learning C) Teamwork D) Time management
A) Respect B) Integrity C) Accountability D) Excellence
A) Teamwork and collaboration B) Ethical behavior C) Professional appearance D) Time management
A) Teamwork and collaboration B) Public speaking C) Data analysis D) Email etiquette |