bioai-tags.json

{
  "application": [
    "Deepfakes",
    "Search algorithms",
    "Speech recognition (STT)",
    "Industrial robots",
    "Social robots",
    "Voice Recognition",
    "Facial recognition",
    "Emotion recognition",
    "Chatbot",
    "Voice Assistants",
    "Image labelling",
    "Content moderation",
    "Recommendation engines",
    "Biometrics",
    "Targeted advertising",
    "Self-driving cars",
    "Object detection",
    "Speech synthesis (TTS)",
    "Text Prediction",
    "Sentiment analysis",
    "Image/video analysis",
    "Fact-checking and verification",
    "Audio analysis",
    "Market analysis and forecasting",
    "Automatic content creation"
  ],
  "sector": [
    "Agriculture",
    "Automative",
    "Medical",
    "Travel",
    "Leisure",
    "Entertainment",
    "Legal",
    "Public sector",
    "Third sector",
    "Government",
    "Justice",
    "Immigration",
    "Education",
    "Finance",
    "Heath and social care",
    "Telecomms",
    "Cybersecurity",
    "Manufacturing",
    "Military",
    "Media",
    "Space/ Aviation",
    "Service Industries",
    "Creative Industries",
    "IT",
    "Utilities",
    "News and journalism",
    "Science",
    "Environment/nature",
    "Energy"
  ],
  "technology": [
    "Machine Learning",
    "Pattern recognition",
    "Supervised Learning",
    "Unsupervised learning",
    "Deep learning",
    "Neural networks",
    "Data",
    "Algorithms",
    "Model",
    "Clustering",
    "Classification",
    "Statistics",
    "Big data",
    "Datasets",
    "GPU",
    "NLP",
    "Computer Vision"
  ],
  "relatedConcepts": [
    "Policy",
    "Governance/oversight",
    "Weak/Narrow Artifical Intelligence",
    "Artificial General Intelligence (AGI)",
    "Stochastic parrot",
    "Black box",
    "Agency",
    "Accountability",
    "Extraction",
    "Transparency",
    "Ethics",
    "Trust",
    "Autonomy",
    "Creativity",
    "Fairness",
    "Surveillance capitalism",
    "Automation",
    "Intelligence",
    "Gig economy",
    "Data mining",
    "AI Ethics",
    "Responsible AI",
    "Trustworthy AI",
    "Human Centred AI",
    "Algorithmic Bias",
    "AI regulation",
    "Robot rights",
    "Leader in AI",
    "Large Language Libraries",
    "Data science",
    "Computer Science",
    "AI audit",
    "Algorithmic/ Automated Decision Making",
    "AI bias",
    "AI skills gap",
    "AI literacy",
    "Explainable AI (XAI)",
    "Quantum AI",
    "Fauxtomation"
  ],
  "risks": [
    "Privacy",
    "Physical security",
    "Existential risk",
    "Job security",
    "Environmental Footprint",
    "Bias",
    "Misinformation/Disinformation",
    "Opacity",
    "Amplication of inequality",
    "Racism",
    "Sexism",
    "Data bias",
    "Surveillance",
    "Automation",
    "State Power",
    "Extractivism",
    "Data hazards"
  ],
  "benefits": [
    "Efficiency",
    "Speed",
    "Accuracy",
    "Innovation",
    "Automation",
    "AI for Good",
    "Data for Good",
    "Optimisation"
  ],
  "people": [
    "Clickworkers",
    "Engineers",
    "Business decision makers",
    "Content moderators",
    "General public",
    "Tech workers",
    "Whistleblowers",
    "People of colour",
    "Children",
    "Students",
    "Women",
    "Gig workers"
  ],
  "vibe": [
    "Optimistic",
    "Ironic",
    "Cautionary",
    "Inspirational",
    "Questioning",
    "Bold",
    "Uncertain",
    "Professional",
    "Humourous"
  ],
  "style": [
    "Photographic",
    "Cartoon",
    "Illustration",
    "AI generated",
    "Digital art",
    "Abstract",
    "Realistic"
  ]
}