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