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