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