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