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Privacy Village Academy
Join The Community!AcademyAbout HGPE
  • Hitchhiker's Guide to Privacy Engineering
    • โ“What is HGPE?
      • โš–๏ธWho is this for?
      • ๐Ÿง™โ€โ™‚๏ธPrivacy Engineering
      • ๐ŸŽจCreative Privacy
      • ๐Ÿ”ฎGenerative AI
      • ๐Ÿง‘โ€๐Ÿ’ปAbout the Author
  • ๐Ÿง™โ€โ™‚๏ธThe Ethical AI Governance Playbook 2025 Edition
    • ๐Ÿค–Chapter 1 : AI Literacy
    • ๐ŸŒChapter 2 : AI Governance in the 21st Century
    • โŒ›Chapter 3 - Getting Started with AI Act Compliance
    • ๐Ÿš€Chapter 4 : Rise of AI Governance: Building Ethical & Compliant AI
    • Chapter 5 : Introduction to the Lifecycle of AI
  • ๐ŸŽ“Privacy Engineering Field Guide Season 1
    • โ“Decoding the Digital World: Exploring Everyday Technology
    • ๐Ÿ‘๏ธIntroduction: Why Privacy Matters?
      • Age of Mass Surveillance
      • Privacy & Democracy
      • Privacy & Government Surveillance
    • โšกChapter 1 : How Computers Work?
      • Electricity
      • Bits
      • Logic Gates
      • Central Processing Unit (CPU)
      • Graphic Processing Unit (GPU)
      • Motherboard
      • Data Storage
      • Databases
      • Operating System (OS)
      • Computer Code
      • Programming Languages
      • The File System
      • Bugs and Errors
      • Computer Virus
      • Internet of Things (IoT)
      • Cloud Computing
    • ๐Ÿ›ฐ๏ธChapter 2 : How the internet works?
      • Physical Infrastructure
      • Network and Protocols
      • Switch
      • Routers
      • IP Address
      • Domain Name System (DNS)
      • Mac Address
      • TCP / IP
      • OSI Model
      • Packets
      • The Client - Server Architecture
      • Secure Socket Shell (SSH)
      • Transport Layer Security (TLS)
      • Firewall
      • Tunnels and VPNs
      • Proxy Server
    • ๐Ÿ–ฅ๏ธChapter 3 : How Websites Work?
      • HTML
      • CSS
      • Javascript
      • Web Server
      • Browser
      • HTTP
      • Databases
      • Front End (Client Side)
      • Back End (Server Side)
      • Cookies
      • Local Storage
      • Session Storage
      • IndexedDB
      • XHR Requests
      • Web APIs
      • Webhooks
      • Email Server
      • HTTPS
      • Web Application Firewall
      • Single Sign-on (SS0)
      • OAuth 2.0
      • Pixels
      • Canvas Fingerprinting
      • Email Tracking
      • Containers
      • CI/CD
      • Kubernetes
      • Serverless Architecture
    • โš›๏ธChapter 4 : How Quantum Computers Work?
      • Quantum Properties
      • Quantum Bits (Qubits)
      • Decoherence
      • Quantum Circuits
      • Quantum Algorithms
      • Quantum Sensing
      • Post-Quantum Cryptography
    • ๐Ÿ“ณChapter 5 : Mobile Apps and Privacy
      • Battery
      • Processor
      • Mobile Operating Systems
      • Mobile Data Storage
      • Cellular Data
      • Mobile Device Sensors
      • Wireless Connectivity
      • Camera & Microphone
      • Mobile Apps
      • Software Development Kits (SDKs)
      • Mobile Device Identifiers
      • Bring Your Own Device (BYOD)
  • ๐Ÿ•ต๏ธโ€โ™‚๏ธPrivacy Engineering Field Guide Season 2
    • โ“Introduction to Privacy Engineering for Non-Techs
      • ๐ŸŽญChapter 1 : Digital Identities
        • What is identity?
        • Authentication Flows
        • Authentication vs. Authorization
        • OAuth 2.0
        • OpenID Connect (OIDC)
        • Self Sovereign Identities
        • Decentralized Identifiers
        • eIDAS
      • ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธChapter 2 : De-Identification
        • Introduction to De-Identification?
        • Input / Output Privacy
        • De-identification Strategies
        • K-Anonymity
        • Differential Privacy
        • Privacy Threat Modeling
  • ๐Ÿ“–HGPE Story and Lore
    • ๐ŸชฆChapter 1 : The Prologue
    • โ˜„๏ธChapter 2 : Battle for Earth
    • ๐Ÿฆ Chapter 3 : A Nightmare To Remember
    • ๐Ÿง™โ€โ™‚๏ธChapter 4 : The Academy
    • ๐ŸŒƒChapter 5: The Approaching Darkness
    • โš”๏ธChapter 6 : The Invasion
    • ๐ŸฐChapter 7 : The Fall of the Academy
    • ๐Ÿ›ฉ๏ธChapter 8 : The Escape
    • ๐ŸชChapter 9 : The Moon Cave
    • ๐Ÿฆ‡Chapter 10: Queen of Darkness
  • ๐Ÿ“บVideos, Audio Book and Soundtracks
    • ๐ŸŽงReading Episodes
    • ๐ŸŽนSoundtracks
  • ๐Ÿ‘พHGPE Privacy Games and Challenges
    • ๐ŸŽฎData Privacy Day'23 / Privacy Treasure Hunt Game
    • ๐ŸงฉPrivacy Quest
  • ๐Ÿ“ฌSubscribe Now!
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On this page
  • What is generative AI?
  • Art and Algorithms
  • Generative AI Landscape
  • Stable Diffusion
  • ChatGPT and OpenAI

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  1. Hitchhiker's Guide to Privacy Engineering
  2. What is HGPE?

Generative AI

Creative AI enables individuals to be more creative and experiment using vast datasets and models that teach creativity to machines.

PreviousCreative PrivacyNextAbout the Author

Last updated 2 years ago

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What is generative AI?

Generative AI is a marvel of technology that can create things seemingly out of thin air. It's like a magical genie in a bottle, except instead of granting wishes, it can generate whole new worlds, languages, and even art.

Using complex algorithms and machine learning, generative AI can learn patterns and structures and then create new ones that resemble what it has learned.

It's like a never-ending source of creativity, always churning out new ideas and possibilities. It may seem like something straight out of science fiction, but generative AI is here, and it's changing the world as we know it.

I use generative AI pipelines to teach core values of privacy or increase peopleโ€™s privacy awareness with storytelling.

There are magical things going on in ML space, as we are entering a new era of human-machine co-creation. Generative AI disrupted writing through GPT-3 and now music, images, and video.

But how come machines are able to create these?

Art and Algorithms

The idea is that Human artwork is repeating itself with what already exists. It is difficult to create artwork without repeating certain templates, and patterns. Even without noticing them as an artist.

So we can say that most art has always been algorithmic.

Mainstream art consists of inspiration from other works or follows existing templates.

In music, we have chord progressions and scale and in storytelling, we have the heroโ€™s journey, etc. Even in gaming, most FPS we play is built around a single, simple game mechanic. โ€œRock, paper, and scissors.โ€

Those patterns allow computers to create art based on the trained models that can fool humans, around 55% percent as of now in an artsy Turing Test. And the technology and tools at our disposal are getting better every day.

Generative AI Landscape

So this is what the current generative AI landscape and current projects look like.

Stable Diffusion

I am experimenting with how we as privacy enthusiasts, academia, and professionals can leverage these technologies to spread privacy like never before.

The diffusion process in a nutshell is to add gaussian noise at the start. Then try to predict using neural networks the noise added in each step. Finally, denoise the image to generate a new one. Deep learning and generative adversarial networks are used in these models.

These technologies even sparked a battle between AI sympathizers and conservative artists.

As some AI artwork won competitions which pissed off the human participants. and AI-powered artwork is pushing some artists away in favor of automation.

This reminds me of my battle with the Istanbul bar's cyber law commission chair, who said in a public statement that I was desecrating the legal practice by generating privacy policies automatically. And that I am a disgrace to lawyers as I was helping early-stage startups who couldn't afford lawyers with technology and taking their jobs away from lawyers.

So yeah, geography is your destiny I suppose.

ChatGPT and OpenAI

In terms of recent work at OpenAI, the organization has made significant strides in a variety of areas, including natural language processing, reinforcement learning, computer vision, and robotics.

Additionally, OpenAI has been actively researching ways to make AI systems more transparent, interpretable, and aligned with human values yet they have not yet released any work around it to the public.

I am currently involved with text-to-image algorithms.

is a leading research organization in the field of artificial intelligence, with a focus on developing advanced AI technologies and ensuring they are beneficial for humanity.

Some of their notable achievements include the development of , a language model that can generate human-like text, and the creation of , an AI system that can generate images from textual descriptions.

Stable Diffusion
OpenAI
GPT-4
DALL-E
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Bill Gates on AI and the rapidly evolving future of computingYouTube
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