How ethical with the data are Generative AI platforms or apps?
How ethical with the data are Generative AI platforms or apps?
Older (Established):
- LinkedIn: 2003
- Plenty of Fish (POF): 2003
- Facebook (Meta): 2004
- OkCupid: 2004
- Twitter (X): 2006
- Instagram (Meta): 2010
- Snapchat: 2011
- Tinder: 2012
- Hinge: 2012 (Rebranded in 2016)
- Bumble: 2014
- LinkedIn: 2003
- Plenty of Fish (POF): 2003
- Facebook (Meta): 2004
- OkCupid: 2004
- Twitter (X): 2006
- Instagram (Meta): 2010
- Snapchat: 2011
- Tinder: 2012
- Hinge: 2012 (Rebranded in 2016)
- Bumble: 2014
Newer (Emerging/Recent):
- OpenAI (ChatGPT, DALL-E):
- Founded: 2015
- ChatGPT Release: 2022
- Runway: 2018
- Cohere: 2019
- Jasper: 2021
- Anthropic (Claude):
- Founded: 2021
- Claude Release: 2023
- Microsoft (Copilot, Azure OpenAI):
- Azure OpenAI Service: 2021
- Copilot Announced: 2023
- Stability AI (Stable Diffusion): 2022
- Perplexity AI: 2022
- Midjourney: 2022
- Adobe Firefly: 2023
- 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
- OpenAI (ChatGPT, DALL-E):
- Founded: 2015
- ChatGPT Release: 2022
- Runway: 2018
- Cohere: 2019
- Jasper: 2021
- Anthropic (Claude):
- Founded: 2021
- Claude Release: 2023
- Microsoft (Copilot, Azure OpenAI):
- Azure OpenAI Service: 2021
- Copilot Announced: 2023
- Stability AI (Stable Diffusion): 2022
- Perplexity AI: 2022
- Midjourney: 2022
- Adobe Firefly: 2023
- 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 ?
- 2007: The original iPhone was launched, marking the beginning of the modern smartphone era.
- 2008: The iPhone 3GS introduced the App Store, a crucial development for smartphone capabilities.
- 2017: Apple introduced the neural engine for handling machine learning tasks in the iPhone X and iPhone 8 generation.
- Late 2022: The launch of ChatGPT sparked broader interest in AI applications across various tech sectors, including mobile devices.
- 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.
- 2024: IDC forecasts a 364% year-over-year growth in AI-enabled smartphone shipments, reaching 234.2 million units.
- 2028: Projected shipments of AI-enabled smartphones to reach 912 million units
- 2007: The original iPhone was launched, marking the beginning of the modern smartphone era.
- 2008: The iPhone 3GS introduced the App Store, a crucial development for smartphone capabilities.
- 2017: Apple introduced the neural engine for handling machine learning tasks in the iPhone X and iPhone 8 generation.
- Late 2022: The launch of ChatGPT sparked broader interest in AI applications across various tech sectors, including mobile devices.
- 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.
- 2024: IDC forecasts a 364% year-over-year growth in AI-enabled smartphone shipments, reaching 234.2 million units.
- 2028: Projected shipments of AI-enabled smartphones to reach 912 million units
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