.svg)
.svg)
.svg)
.jpg)
With its ability to create content and automate chores, generative AI is quickly becoming an indispensable part of our everyday lives as technology continues to push its boundaries. But the deeper this integration goes, the more fundamental the problems about risk management, traceability, and accountability become.
The unmatched potential of generative AI is evident in a number of domains, from job automation to the production of a wide range of content, including text, photos, audio, and video. Because of its adaptability, which is based on foundation models, generative AI has been able to seamlessly integrate into our daily tools, increasing productivity and completely changing the way we approach work.
Take a client sales call scenario, for example. Based on the actual substance of the conversation, a generative AI tool may provide a sales professional with real-time suggestions for upselling prospects. A vast range of data would be utilized for this, including social media influencer data, external market trends, and internal customer information. Although these apps open up a world of opportunities, they also present significant limitations.
The Hurdles Posed by Generative AI Overcoming the Obstacles: Deepfakes and the Accountability Conundrum. Deep fakes and accountability are the two main issues that arise in the field of generative AI.
Deep Fakes: The Digital Digital forgeries known as “Deep Fakes” create extremely lifelike photos, films, or audio recordings that appear real but are actually created artificially using AI and machine learning. Because deep learning algorithms have made it easier to create and spread deep fakes, together with the viral nature of social media, there is a risk of misinformation, propaganda, and defamation.
Accountability: The Blurry Lines: Determining responsibility for judgments made by AI systems becomes more difficult when these systems gain decision-making capabilities. Is the owner, the software developer, or the manufacturer of the self-driving car responsible for any accidents caused by the vehicle? These kinds of situations highlight the necessity for precise procedures to guarantee accountability and traceability in AI systems.
Self-Sovereign Identity (SSI), an innovative decentralized technology, comes to light as a powerful remedy for the problems caused by generative AI, especially the problem of accountability and deep fakes. By giving people ownership over their personal data, SSI creates a strong barrier against identity theft and digital deception while also laying the groundwork for improved trust and authentication.
Imagine if each person had an official, digital identity that could be verified, much like a “birth certificate” It’s possible that AI systems would also fall under this identity in addition to humans. In the digital era, this kind of action might completely change how we think about security, privacy, and openness. This might essentially end identity theft in human interactions in addition to helping track an AI system’s behaviors, promoting responsibility, and offering granular control over its behavior.
When an AI system is implicated in disseminating false information,SSI utilizes verifiable credentials to combat misinformation by enabling individuals to securely possess and present their credentials. Stored on decentralized ledgers, such as blockchain, these credentials ensure authenticity without reliance on centralized authorities. This decentralized approach minimizes the risk of data breaches and manipulation, offering a robust defense against false information., held responsible, and have its access removed in order to stop the wrong information from spreading further. Furthermore, the implementation of SSI would improve privacy and data protection in human interactions by removing the need for people to divulge unnecessary personal information for verification. Parties can trust each other without sharing sensitive information by cross-referencing data against the SSI, employing Zero-Knowledge Proofs (ZKPs). This cryptographic method allows verification of information without revealing the actual data, enhancing privacy and security in digital interactions.
Essentially, SSI offers a more secure, private, and transparent means of interacting in the digital world, reimagines accountability, and gives strong protection against identity theft and deepfakes for both people and AI systems.
There is a heated and continuous discussion about whether AI should have the same accountability for its acts as people and businesses. Should AI be held accountable for the outcomes of its actions, considering that it is capable of making judgments? Or do the people who design and manage these AI systems bear the final say in matters of accountability? In the era of sophisticated artificial intelligence, these queries challenge us to reevaluate our legal systems and the definition of accountability.
It’s a difficult road ahead with generative AI, and it’s important to address the risks and difficulties it raises. Self-sovereign identities in AI are a possible next step since they offer a means of accountability and defense against hazards. At Gravity, we’re unwaveringly venturing into this uncharted territoryand making tangible progress toward realizing our mission. We are laying the groundwork for a more secure and accountable digital ecosystem by providing people and organizations with verified digital IDs. Our objective is now broadening to include AI systems, enabling a safe and open environment for the coexistence of artificial and human intellect.
Hovi platform offers tools like SaaS Studio, APIs, and SDK for seamless integration of self-sovereign identity. It enables businesses to issue, verify, and manage decentralized verifiable credentials across various identity providers. This flexibility allows businesses to implement self-sovereign identity into their products and services without being tied to a single vendor. With support for multiple DID methods, communication protocols, and wallet interoperability, Hovi ensures compatibility with major identity platforms. This enables the issuance, verification, and management of decentralized verifiable credentials using various identity providers like Sovrin, Indicio, Cheqd, and Polygon and more.
