DT BASED SESSION ON APPLICATIONS OF AI | ELECTRONICS CIRCUIT AND ELECTRON DEVICE |SNS INSTITUTIONS

Morphing AI video technology—the ability to seamlessly alter, blend, or transform faces and bodies in videos—presents significant ethical challenges, many of which are intimately tied to the electronics and hardware industry. These issues range from the computational power required for generation to the privacy risks of AI-equipped consumer electronics.
Key ethical issues related to electronics include:
Environmental Impact of High-Performance Hardware: The AI models used to create, "nudge," or "nudify" videos require immense computational power. The training and operation of these models often demand high-end GPUs, contributing to significant energy consumption and a large carbon footprint.
Electronic Waste and Resource Depletion: The rapid development of AI necessitates frequent, specialized hardware upgrades, accelerating the production of electronic waste (e-waste) and increasing the demand for rare earth metals.
Privacy Violations in Smart Devices: The integration of AI video manipulation tools into wearable devices, cameras, and smartphones enables near-constant surveillance and the collection of biometric data, often used to create unauthorized "deepfakes" or digital replicas.
Misuse of Consumer Electronics for Harassment: "Nudify" apps and other AI-powered tools that generate synthetic, non-consensual sexual content are increasingly accessed via smartphones and personal computers, leading to increased cases of harassment and exploitation.
Authentication and Device Security Vulnerabilities: AI-generated content makes it easier to create convincing, fraudulent videos that can bypass facial recognition security features on electronic devices.
Data Provenance and Trusted Hardware: There is an urgent need for hardware-based solutions, such as embedded watermarking and secure "trusted" electronics (e.g., in cameras), to verify the authenticity of media and prevent the spread of misinformation.

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