The Spread of AI-Generated Disinformation
As the digital landscape rapidly evolves, so do the risks associated with it. Among the growing concerns are AI-generated content and deepfakes, which are progressively being used to deceive and manipulate. While AI-generated images and deepfakes are drawing attention in the political landscape, their influence stretches far beyond, affecting everything from self-perception to trust in media.
The National Security Agency have classified deepfakes as a significant threat due to their potential to synthetically create or manipulate multimedia. This concern has driven some states, such as California and Texas, to enact laws against the malicious use of deepfakes. Similarly, the rise of AI-generated images has highlighted the importance of addressing these threats. Tools like Elon Musk’s new Grok chatbot, which in certain instances, has produced highly convincing yet deceptive content, highlighting the need for strong technological and ethical guardrails.
Viral Misinformation with Real-Life Examples
Recent cases showcase how sophisticated AI-generated content can be:
- A fabricated image of singer Taylor Swift endorsing former President Donald Trump going viral on social media.
- An AI-generated deepfake of Elon Musk endorsing a fake investment scheme circulated online, tricking people into believing he was involved.
These examples show the potential for AI to be utilized with the intent to manipulate, whether it's in the instance of negatively influencing political opinions, spreading scams or even damaging reputations.
AI-generated content, including filters used by celebrities to smooth skin or alter body shapes, can damage self-esteem. Here is an article highlighting examples of controversial edited photos shared by major celebrities like Kim Kardashian and Ariana Grande. Some platforms like Instagram are even now labeling AI-generated content for greater transparency, showcasing these photos as a potential risk to self-worth. AI-generated content can also damage reputations. A notable example is when deepfakes of Taylor Swift featuring explicit content circulated earlier this year. Images like these can set unattainable standards, leading to body image issues.
Tips for Identifying
Here are some guidelines for spotting AI-generated and deepfake scams:
- Unnatural eye movement and facial expressions: Watch for unusual eye movements, blinking or gaze, as facial expressions might seem delayed or out of sync.
- Lack of emotion: Be alert for robotic or emotionless speech, where the tone doesn’t align with the words or situation.
- Features that don’t look real: Look for inconsistencies, such as distorted edges around the face, unnatural lighting or blurred details.
- Untrustworthy sources: Evaluate the credibility of the source and verify information by cross-checking with multiple alternative trusted sources.
As AI-generated content and deepfakes challenge trust and authenticity, Gen remains committed to safeguarding digital freedom. We aim to stay ahead of threats and equip people with the knowledge and tools they need to stay Cyber Safe amid new and emerging threats. By educating people and enhancing our cybersecurity measures, we strive to uphold the integrity of our digital world. Together, we can navigate evolving challenges, such as misinformation, and ensure a safer online experience.
For more guidance on staying safe in the age of deepfakes, click here.
