Generative AI Applications and Limitations Discussed at Global AI Community Event
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The document discusses generative AI and its future applications. Generative AI uses machine learning to generate new, original content by learning from data patterns, such as creating software code, drug development, and image processing. It is estimated that by 2025, 10% of all data produced will use generative AI, up from less than 1% today. However, generative AI also poses risks like being hard to control and enabling deepfakes. The document advocates for responsible development of AI through principles like fairness, reliability, and transparency. It provides information on how to get involved in AI development through Microsoft's cognitive services and tools for machine learning.
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Generative AI Applications and Limitations Discussed at Global AI Community Event
- 2. #GlobalAICommun ity #GlobalAIBackTogeth er Keynote – Future of AI Luis Beltrán Microsoft MVP about.me/luis-beltran
- 5. #GlobalAICommun ity #GlobalAIBackTogeth er What is it? Machine Learning methods that learn about content or objects from their data, and use it to generate brand-new, completely original, realistic artifacts.
- 6. #GlobalAICommun ity #GlobalAIBackTogeth er Benefits • Generation of higher quality outputs. • Lowering the risks associated with a project. • Training reinforced machine learning models to be less biased. • Enabling depth prediction without sensors. • Enabling localization and regionalization of content via deepfakes. • Allowing robots to comprehend more abstract concepts both in simulation and the real world.
- 7. #GlobalAICommun ity #GlobalAIBackTogeth er Applications • Creating software code • Facilitating drug development • Targeted marketing • Identity Protection • Image Processing • Film Restoration • Audio Synthesis • Healthcare By 2025, Gartner expects generative AI to account for 10% of all data produced, up from less than 1% today.
- 8. #GlobalAICommun ity #GlobalAIBackTogeth er Misuses and Limitations • Hard to Control • Pseudo Imagination • Security • Scams • Fraud • Political disinformation • Forged identities
- 9. #GlobalAICommun ity #GlobalAIBackTogeth er AI Engineering + Autonomic Systems
- 10. #GlobalAICommun ity #GlobalAIBackTogeth er AI Engineering • AI engineering is an emergent discipline focused on developing tools, systems, and processes to enable the application of AI in real- world contexts. • For fusion teams working on AI, the real differentiator for their organizations will lie in their ability to continually enhance value through rapid AI change.
- 11. #GlobalAICommun ity #GlobalAIBackTogeth er Autonomic Systems • Autonomic systems are self-managing physical or software systems that learn from their environments. • Autonomic systems can dynamically modify their own algorithms without an external software update, enabling them to rapidly adapt to new conditions in the field.
- 14. #GlobalAICommun ity #GlobalAIBackTogeth er Pillars to AI Engineering • Human-centered AI • Scalable AI • Robust and Secure AI By 2025, the 10% of enterprises that establish AI engineering best practices will generate at least three times more value from their AI efforts than the 90% of enterprises that do not.
- 15. #GlobalAICommun ity #GlobalAIBackTogeth er How can we be part of AI development?
- 17. #GlobalAICommun ity #GlobalAIBackTogeth er Cognitive Services Computer Vision Face API Custom Vision Text-to-Speech Speech-to-Text Speech Translator Speaker Recognition Language Understanding Text Translator Text Analytics QnA Maker Anomaly Detector Content Moderator Personalizer microsoft.com/cognitive Vision Speech Language Decision
- 18. #GlobalAICommun ity #GlobalAIBackTogeth er Towards a responsible AI • Fairness AI systems should treat all people fairly • Reliability & Safety AI systems should perform reliably and safely • Privacy & Security AI systems should be secure and respect privacy • Inclusiveness AI systems should empower everyone and engage people • Transparency AI systems should be understandable • Accountability People should be accountable for AI systems https://www.microsoft.com/en-us/ai/responsible-ai
- 19. #GlobalAICommun ity #GlobalAIBackTogeth er Keynote – Future of AI Luis Beltrán Microsoft MVP about.me/luis-beltran Thank you for your attention!