Join Gen AI enterprise leaders in Boston on March 27 for an exclusive night of networking, insights, and conversations surrounding data integrity. Request an invite here.
In case you hadn’t noticed, the rapid advancement of AI technologies has ushered in a new wave of AI-generated content ranging from hyper-realistic images to compelling videos and texts. However, this proliferation has opened Pandora’s box, unleashing a torrent of potential misinformation and deception, challenging our ability to discern truth from fabrication.
The fear that we are becoming submerged in the synthetic is of course not unfounded. Since 2022, AI users have collectively created more than 15 billion images. To put this gargantuan number in perspective, it took humans 150 years to produce the same amount of pictures before 2022.
The staggering amount of AI-generated content is having ramifications we are only beginning to discover. Due to the sheer volume of generative AI imagery and content, historians will have to view the internet post-2023 as something completely different to what came before, similar to how the atom bomb set back radioactive carbon dating. Already, many Google Image searches yield gen AI results, and increasingly, we see evidence of war crimes in the Israel/Gaza conflict decried as AI when in fact it is not.
Embedding ‘signatures’ in AI content
For the uninitiated, deepfakes are essentially counterfeit content generated by leveraging machine learning (ML) algorithms. These algorithms create realistic footage by mimicking human expressions and voices, and last month’s preview of Sora — OpenAI’s text-to-video model — only further showed just how quickly virtual reality is becoming indistinguishable from physical reality.
VB Event
The AI Impact Tour – Atlanta
Continuing our tour, we …
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Join Gen AI enterprise leaders in Boston on March 27 for an exclusive night of networking, insights, and conversations surrounding data integrity. Request an invite here.
In case you hadn’t noticed, the rapid advancement of AI technologies has ushered in a new wave of AI-generated content ranging from hyper-realistic images to compelling videos and texts. However, this proliferation has opened Pandora’s box, unleashing a torrent of potential misinformation and deception, challenging our ability to discern truth from fabrication.
The fear that we are becoming submerged in the synthetic is of course not unfounded. Since 2022, AI users have collectively created more than 15 billion images. To put this gargantuan number in perspective, it took humans 150 years to produce the same amount of pictures before 2022.
The staggering amount of AI-generated content is having ramifications we are only beginning to discover. Due to the sheer volume of generative AI imagery and content, historians will have to view the internet post-2023 as something completely different to what came before, similar to how the atom bomb set back radioactive carbon dating. Already, many Google Image searches yield gen AI results, and increasingly, we see evidence of war crimes in the Israel/Gaza conflict decried as AI when in fact it is not.
Embedding ‘signatures’ in AI content
For the uninitiated, deepfakes are essentially counterfeit content generated by leveraging machine learning (ML) algorithms. These algorithms create realistic footage by mimicking human expressions and voices, and last month’s preview of Sora — OpenAI’s text-to-video model — only further showed just how quickly virtual reality is becoming indistinguishable from physical reality.
VB Event
The AI Impact Tour – Atlanta
Continuing our tour, we …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]