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