Artificial Intelligence at Stake: Elon Musk's XAI in Memphis Amid Pollution and Deepfakes Concerns

Thursday, 29 August 2024, 10:00

Artificial Intelligence is at the forefront as Elon Musk's XAI grapples with pollution accusations and deepfakes dangers. Environmental advocacy groups demand accountability from Musk's AI startup for unpermitted operations in Memphis. Additionally, troubling findings from Thorn highlight the rise of deepfake-related issues affecting minors' safety online, prompting urgent attention from tech leaders.
Fast Company
Artificial Intelligence at Stake: Elon Musk's XAI in Memphis Amid Pollution and Deepfakes Concerns

Elon Musk's XAI Faces Environmental Concerns

Artificial Intelligence is making headlines as Elon Musk's XAI confronts significant allegations regarding pollution linked to its Memphis data center. The Southern Environmental Law Center has raised alarms about the unpermitted combustion turbines powering the facility.

Deepfakes: A Rising Threat to Minor's Safety

In a shocking report, Thorn reveals that deepfakes are creating serious online safety risks for children. Alarmingly, one in ten minors reported having peer experiences with AI-made explicit content, highlighting the pressing need for action.

  • Musk's Controversial Background: Known for his other ventures facing environmental scrutiny, such as SpaceX and Tesla.
  • Thorn's Report: Partners with BSG to assess the prevalence of harmful AI tools among minors.
  • NotePin: A New AI Gadget: Designed for efficiency, Plaud's AI-driven NotePin aims to simplify audio note-taking.

Innovation Meets Responsibility

Elon Musk's ventures, including XAI, must navigate the dual challenge of advancing artificial intelligence while addressing the ethical and environmental implications of their operations. The urgent need for safeguards against deepfakes further complicates the narrative.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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