According to the latest research, the blockchain is emerging as a key technology in mitigating the potential negative effects of AI applications.
Artificial intelligence has indeed revolutionized many sectors, but has also raised questions about ethical issues, data security and transparency.
Like the blockchain, crypto also represents an essential addition to artificial intelligence and offers new perspectives for innovation and security in the digital age. Let’s see all the details below.
How blockchain can mitigate the negative impacts of AI apps
As expected, blockchain and cryptocurrencies come to the fore most important tools to mitigate the risks associated with AI, by providing innovative solutions to authenticate content and verify identities.
The advent of generative intelligence (IA) has presented policymakers with new challenges in regulating these powerful technologies.
However, with the adoption of advanced technologies, it is possible to drive AI into useful applications and a safe and transparent digital ecosystem.
One of the crucial questions is how guarantee the authenticity of the content in a context where any medium can be generated synthetically.
Deepfakes in particular pose a significant threat because they can be used to impersonate public figures or to portray authentic media as fake.
A recent example is the use of a deepfake of the president Biden to discourage voters in the New Hampshire primary.
The solution to these problems could lie in the blockchain technologies that provide this immutable ledgers to verify the authenticity of images and videos.
Organizations like the Coalition for Content Provenance and Authenticity (C2PA) are developing technical standards to address this challenge, but the results are still imperfect.
The implementation of blockchain in recording devices, such as cameras and smartphones, could ensure that every image or video is validated as authentic, pixel by pixel.
The Number protocolis an example of how work is being done in this direction.
Identity verification and secure transactions
In addition to the challenge of content authenticity, AI also raises issues related to online identity verification.
Large Language Models (LLM), such asChatGPT, can mimic a person’s writing style, making identity verification even more complex.
It follows that the need to prevent cybercrime such as identity theft and ensure age verification on social platforms is more urgent than ever.
Cryptocurrencies offer a possible solution for this the digital identity infrastructure based on biometric authentication and zero-knowledge proofs.
This technology makes it possible to verify only the information required for a specific transaction, while maintaining the privacy of users.
Projects like Worldcoin, supported by the CEO of OpenAI Sam Altman, explore these possibilities.
Governance of artificial intelligence agents
Furthermore, the rise of artificial intelligence agents introduces new challenges to the management of the internet.
These agents, with the ability to perform complex actions on behalf of people, could become trusted advisors, able to communicate with other agents and people, including in financial transactions.
However, the integration of these agents into the traditional banking system is still far away.
Thestable currency, Cryptocurrencies linked to the value of the dollar could play a crucial role.
If regulated and widely adopted, they could facilitate the financial transactions of AI agents, providing a trusted and secure option for both users and financial institutions.
However, while cryptocurrencies have matured as a technology, they continue to struggle to adapt to the current situation regulatory system and a financial system not designed for them.
In any case, through political and technical solutions, it is possible to build a digital ecosystem ready to meet the challenges of the next industrial revolution, powered by artificial intelligence.
