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