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