Deepfakes and the Future of Trust
If artificial intelligence can create realistic things that never happened, how can society decide what is real? For most, seeing was believing. A photograph or a video was treated as proof, something journalists could build stories on and ordinary people could trust to settle an argument; however, AI has slowly erased that certainty. Today, anyone with a laptop and a few minutes can generate fake images and information, resulting in fabrications that are nearly impossible to decipher. The danger is not that people might believe something is false, but that the growing use of deepfake technology makes it easier to manipulate one’s perception of reality.
One of the most significant dangers led by deepfakes and AI generated content is its ability to spread misinformation. A 2026 Science Direct study states that deepfake, a serious visual disinformation technique, has worsened situations by creating hyperrealistic synthetic media that never existed. Alarmingly, 27%–50% of people cannot distinguish deepfake-generated content from the real ones. This highlights the increasing threat in disinformation without proper intervention. Moreover, a fake written post can sometimes be easier to question, but a realistic video or image can feel like direct evidence. Ultimately, the growing sophistication of deepfakes transform misinformation from false claims that can easily be challenged as fake, to evidence that questions a human’s undermining ability to decipher reality.
But to what extent does society control who’s personally affected by created images? AI-generated deepfakes pose growing risks to individuals, organizations, and society by replicating real-life appearances and behaviors in ways that are even difficult for experts to detect. Worldwide cases emphasize how the law was violated by the fabrication of artificial intelligence images. Common violations such as the modification in images involving students, is an infraction of another’s privacy. Furthermore, population connectivity can cause image modified versions to quickly spread, leaving individuals with little to no control over how their appearances and identities are used. Overall, the misuse of deepfake technology extends beyond the creation of false content, as it can weaken personal privacy and individual autonomy by allowing people’s identities to be manipulated and distributed without consent.
When such circumstances arise, many may argue that the responsibility should rest on the individual who misused technology to create harm, and others may contend that guilt should be directed to broader systems that allow content to be distributed on a much larger scale. From a moral perspective, the individual who deliberately creates and distributes AI created images should bear responsibility, as they consciously chose to manipulate one’s identity. Deepfakes itself does not possess the intentions to deceive, it is the person behind it who chooses to do such a thing. Nevertheless, focusing solely on the individual is not fair, especially when social media and other technological companies have so much presence in our lives, and the system can easily regulate what is enabled for the public.
In conclusion, as deepfake and artificial intelligence continue to develop, the distinction between reality and online fabrications becomes more challenging. What began as a technological innovation, later became a tool that can give access for an individual to spread misinformation, create harm, violate privacy, and create uncertainty inside society. Ultimately, deepfakes can completely manipulate one’s perception of reality. So if technology can make the unreal look real, how can society continue to decide what deserves to be believed? Sources:
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