Ethic in social networks

How ethical with the data are Generative AI platforms or apps? 

Older (Established):

  1. LinkedIn: 2003
  2. Plenty of Fish (POF): 2003
  3. Facebook (Meta): 2004
  4. OkCupid: 2004
  5. Twitter (X): 2006
  6. Instagram (Meta): 2010
  7. Snapchat: 2011
  8. Tinder: 2012
  9. Hinge: 2012 (Rebranded in 2016)
  10. Bumble: 2014

Newer (Emerging/Recent):

  1. OpenAI (ChatGPT, DALL-E):
    • Founded: 2015
    • ChatGPT Release: 2022
  2. Runway: 2018
  3. Cohere: 2019
  4. Jasper: 2021
  5. Anthropic (Claude):
    • Founded: 2021
    • Claude Release: 2023
  6. Microsoft (Copilot, Azure OpenAI):
    • Azure OpenAI Service: 2021
    • Copilot Announced: 2023
  7. Stability AI (Stable Diffusion): 2022
  8. Perplexity AI: 2022
  9. Midjourney: 2022
  10. Adobe Firefly: 2023
  11. Google (Gemini, Bard, Imagen):
    • Bard AI Announced: 2023
    • Gemini Announced: 2023

Note on Ethical Considerations:

  • Large Language Models (LLMs) like Gemini, ChatGPT, and Bard often raise similar ethical concerns:
    • Data Privacy: Ensuring that user inputs and interactions are not misused or improperly stored.
    • Bias and Fairness: Addressing and mitigating biases present in training data to provide fair and unbiased outputs.
    • Transparency: Being open about how models are trained, what data is used, and how outputs are generated.
    • Misuse Potential: Preventing the generation of harmful, misleading, or inappropriate content.
    • Environmental Impact: Considering the energy consumption and carbon footprint associated with training large AI models

cell phones are using ai ?

  1. 2007: The original iPhone was launched, marking the beginning of the modern smartphone era.
  2. 2008: The iPhone 3GS introduced the App Store, a crucial development for smartphone capabilities.
  3. 2017: Apple introduced the neural engine for handling machine learning tasks in the iPhone X and iPhone 8 generation.
  4. Late 2022: The launch of ChatGPT sparked broader interest in AI applications across various tech sectors, including mobile devices.
  5. 2023: Major smartphone manufacturers began focusing heavily on AI integration:
    • Google's Pixel 8 launch showcased advanced AI features.
    • Qualcomm announced its Snapdragon 8 Gen 3 chip designed for AI processing.
    • Motorola (owned by Lenovo) started developing an AI assistant for phones and PCs.
  6. 2024: IDC forecasts a 364% year-over-year growth in AI-enabled smartphone shipments, reaching 234.2 million units.
  7. 2028: Projected shipments of AI-enabled smartphones to reach 912 million units

No comments:

Post a Comment

Canada vs. EU vs. US AI Laws: A Comprehensive Analysis of Ethical AI Regulations (July 2025)

Current Status Overview Canada: Legislative Uncertainty Following Political Changes Current State: Canada currently has no enacted feder...