FRAMEWORKS
AISAFE
AISAFE is a comprehensive approach to countering deepfakes and promoting ethical AI use by combining technological innovation, global cooperation, public awareness, and strong governance. It emphasizes the need for advanced detection tools, international partnerships, secure digital identities, and widespread education, while fostering a culture of responsible AI development through ethical training and incentives.
A
Advanced Detection Systems
Develop and enhance detection systems capable of identifying deepfakes accurately, staying ahead of evolving techniques.
I
International Collaboration
Foster collaboration among governments, tech companies, and organizations worldwide to create standardized protocols and share information on deepfake threats.
S
Strong User Authentication
Implement robust user authentication methods on online platforms to verify the identity of content creators, adding an additional layer of security.
A
Awareness and Education
Conduct public awareness campaigns to educate individuals about the existence of deepfakes, their potential risks, and how to critically evaluate online content.
F
Fostering Responsible AI Development
Encourage the responsible development and use of AI technologies by providing incentives for ethical considerations in AI models.
E
Ethical Guidelines and Training
Promote ethical guidelines and best practices for AI developers and researchers, emphasizing continuous education to raise awareness about the potential misuse of AI technologies.
AI-SAFE Launch
The UPAI AI-SAFE Framework was launched at the Bengaluru Tech Summit 2023 on 29 November 2023. It was launched by Dr. Subi Chaturvedi, who was joined on stage by Joint Secretary (New Emerging and Strategic Technologies Ministry of External Affairs, Mahavir Singhvii Arvind Jayaprakash, Senior Vice President Technology. Glance Screen ; Prithvijit Roy, Managing Director & Lead-Global Al Hub, Accenture; Ravinder Mahori, CTO, 1Bridge; and Venk Krishnan, Chief Executive Officer NuWare.
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