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