Digital Content Information and Video Authentication Solutions
The mind blowing speed of AI technology proliferating as an intricate part of business economics, personal, social and cultural aspects of our lives, draws our attention to the need to determine what's real, and what is artificial and/or a creation of intelligent machines.
People must be able to determine the source of information in order to assign value and credibility to the material. Whether it's a social media post, art image or video news clip; people must be able to make an individual judgement on how to process the concepts and ideas presented. Knowing the source often uncovers the intentions. But what if you were unable to accurately identify the source and intentions of the social media post, image or video news clip. What if a person were no longer able to ascertain the difference between what's created by an authentic human versus an AI bot or intelligent machine reports J Dean @SCS.
And how do we appreciate content information, images and/or video presentations that are created by a human in collaboration with the help of an AI bot or intelligent machine. How do we measure let's say the percentage of input by the human versus how much was influenced by an AI bot or intelligent machine.
For example, how can you determine that I actually wrote this article? Did I use an AI bot to do the work for me? Did I use an AI bot to create the thoughts in this article? And further, AI apps are increasingly able to create video content from a photo or small collection of photos.
You may never really know the authenticity, unless I told you that I in fact did write this article myself with no enhancements said J Dean @SCS. In the digital world economy, a way to protect one's valuable work is a primary concern, so ways to secure digital ID is important.
Given, OpenAI GPT-4 will likely be released in 2023 providing upwards of 175 Trillion parameters, far beyond the capacity of the human brain. A challenge is presented which requires very careful thought, targeted technology seeding and collaboration with leadership in order to provide guidance, oversight on how the implementation of AI technology, robots, intelligent machines and cyborg enhancements should best work to benefit mankind. This is a critical step to lay the foundation, groundwork on standard practices needed to succeed.
In fact, we're at a historic point now where the AI technology and intelligent machine capabilities are so great, innovations held within a handful of companies, that U.S. corporate leadership must be vigilant regarding the speed and targeted way in which the technology is released into the commercial markets, otherwise it could cause tremendous economic disruption, cultural and social chaos. Studies find 70 Million jobs may be performed by AI Chatbots, robots, intelligent machines, Cyborgs and the like in 2030.
So, let's explore solutions or ways to begin the journey towards laying the groundwork for standard practices with regard to AI technology. It all begins with a way to authenticate.
Digital ID
A digital ID, also known as a digital identity, is a representation of a person, organization, or device in the digital world. It is a collection of information that can be used to uniquely identify the entity, and is often used to authenticate individuals and provide secure access to online services.
Digital IDs can take many forms, including usernames and passwords, digital certificates, biometric data (such as fingerprints or facial recognition), and smart cards or tokens. They are used for a wide range of purposes, such as logging into online accounts, signing digital documents, and verifying the identity of people or devices in online transactions.
Digital IDs can provide many benefits, such as improved security, convenience, and efficiency in online interactions. However, they also raise concerns about privacy and data protection, as well as the potential for identity theft or fraud. As such, the use of digital IDs is often regulated by laws and standards to ensure their safety and reliability.
Zero Knowledge Proofs (ZKP)
Zero Knowledge Proofs (ZKPs) are a cryptographic protocol that allows a prover to demonstrate to a verifier that they know a specific piece of information without revealing any information about that information itself. In other words, a zero-knowledge proof allows a prover to convince a verifier that they possess a certain secret knowledge, without actually revealing what that knowledge is.
ZKPs are based on complex mathematical algorithms that enable the prover to generate a proof of knowledge that is verifiable by the verifier without disclosing any information beyond the fact that the proof is valid. This is achieved through a series of cryptographic calculations that allow the prover to provide a proof of the knowledge in question, without revealing anything about the knowledge itself.
ZKPs have many practical applications in areas such as secure communication, privacy-preserving authentication, and blockchain-based transactions. For example, ZKPs can be used to verify that a user has a valid password without revealing the password itself, or to ensure that a transaction on a blockchain network is valid without revealing the details of the transaction.
One of the main advantages of ZKPs is their ability to provide strong security and privacy guarantees, while minimizing the amount of information that needs to be shared between parties. This makes ZKPs an attractive option for applications where privacy is a high priority, such as in healthcare, finance, or government.
However, ZKPs can also be computationally intensive, and require significant processing power and specialized expertise to implement. Additionally, because ZKPs are a relatively new and complex technology, they may be subject to security vulnerabilities that are not yet fully understood or well-established.
Blockchain Authentication
Blockchain authentication is a process that uses blockchain technology to verify the identity of individuals or devices. Blockchain is a decentralized and distributed digital ledger that records transactions in a secure and transparent way. It uses cryptographic algorithms to ensure the integrity and immutability of the data it stores.
In blockchain authentication, a unique digital identity is created for each user or device, which is then stored on the blockchain. This identity can be used to authenticate the user or device in subsequent transactions, such as logging into a website or accessing a secure network.
One of the main advantages of blockchain authentication is its high level of security. Because the blockchain is decentralized and distributed, it is extremely difficult to tamper with or manipulate the data it contains. This makes it an ideal technology for verifying the identity of users and devices in high-security environments, such as banking or healthcare.
Another advantage of blockchain authentication is its transparency. Because the blockchain is a public ledger, all transactions are visible to anyone with access to the blockchain. This makes it possible to track the history of a user or device and ensure that it is not being used for fraudulent or malicious purposes.
However, there are also some challenges associated with blockchain authentication, such as the need for standardization and interoperability between different blockchain platforms. Additionally, the use of blockchain authentication may be limited by regulatory and legal frameworks, which may vary from country to country.
Digital Watermark
A digital watermark is a type of digital identifier that is embedded in a digital file, such as an image, video, or audio clip, to provide information about the content, its author, or its ownership. Unlike traditional watermarks, which are visible marks on a physical document or image, digital watermarks are imperceptible to the naked eye and can only be detected using specialized software.
Digital watermarks are typically used for copyright protection and ownership verification. By embedding a digital watermark in a digital file, an author or owner can provide a means of identifying the file as their own, and track its use and distribution. Digital watermarks can also be used to authenticate the integrity and authenticity of digital content, by verifying that the content has not been altered or tampered with since it was created.
Digital watermarks can take many forms, including visible and invisible markings. Visible watermarks are often used by photographers and other creators to add a visible mark or logo to their images, to identify them as their own. Invisible watermarks, on the other hand, are typically embedded in the data itself and are not visible to the user. These watermarks can be used to track the distribution of copyrighted content, monitor online piracy, or authenticate the originality of digital files.
One of the main advantages of digital watermarks is that they are difficult to remove or alter, which makes them a reliable means of identifying and tracking digital content. However, because digital watermarks are embedded in the data itself, they can also be subject to attacks and vulnerabilities, such as steganography, which is the practice of hiding data within other data, and can be used to bypass watermark detection.
Cracking the Code in the Future
Quantum Computers are becoming a regular part of the everyday commercial business world, solving key important challenges in real-time writes J Dean @SCS. But today's secure systems, may not be so secure with the proliferation of Quantum Computing applications.
In fact, quantum computing is a new generation of technology that involves a type of computer 158 million times faster than the most sophisticated legacy supercomputer we have in the world today. It is a device so powerful that it could do in just four minutes what a legacy supercomputer took 10,000 years to accomplish, a rather startling fact.
Quantum computers are a type of computer that uses the principles of quantum mechanics to perform certain types of calculations much faster than classical computers. One of the areas where quantum computers are expected to have a significant impact is in the field of cryptography.
For example in classical cryptography, the security of a cryptographic key is based on the difficulty of factoring large numbers. The most widely used cryptographic algorithms, such as RSA and Elliptic Curve (EC), rely on the fact that grossly large numbers is a computationally intensive process, and would take classical computers a very long time to crack. But it's not the case with Quantum Computers writes J Dean @SCS.
Often, quantum computers can use a specific algorithm called Shor's algorithm to factor large numbers much more efficiently than classical computers. This means that a quantum computer could potentially crack cryptographic keys based on the RSA or EC algorithms much faster than classical computers, in nearly real-time which greatly impacts the world.
The statement that cracking a 256-bit key with a quantum computer would take about as much time as a conventional computer needs to crack a 128-bit key is generally correct. This is because the number of possible combinations of a 256-bit key is much larger than the number of combinations of a 128-bit key, and it would take classical computers a very long time to crack a 256-bit key. However, a quantum computer using Shor's algorithm could crack a 256-bit key much more quickly than a classical computer could crack a 128-bit key.
It should be noted that building a large-scale, error-corrected quantum computer capable of performing these types of calculations is still a significant technical challenge, and it is not yet clear when or if such a machine will be developed. Additionally, research is ongoing into developing new cryptographic algorithms that are resistant to quantum attacks, which could help ensure the security of digital communications in the era of quantum computing.
What's the Solution
The development of guidelines for AI technology involves considering various ethical, legal, and social implications associated with the technology writes J Dean @SCS. It is critical to put in place ways for society to verify authenticity in order to avoid potential disruptions.
Here are some steps that can help in adding guidelines for AI technology :
Identify the stakeholders : The first step is to identify the stakeholders who will be impacted by the AI technology, such as developers, users, regulators, and the general public.
Define the scope : The guidelines should define the scope of the technology, its intended use, and the potential risks associated with its use.
Identify the ethical principles : The guidelines should be based on ethical principles such as fairness, transparency, accountability, privacy, and safety.
Review existing guidelines : Review existing guidelines from international organizations, industry groups, and governments to identify best practices.
Consult with experts: Consult with experts from various fields, such as technology, law, and ethics to gather feedback and ensure the guidelines are comprehensive.
Draft the guidelines : Draft the guidelines, keeping in mind the needs and interests of all stakeholders.
Get feedback : Get feedback from stakeholders on the draft guidelines, make revisions as necessary, and publish the final version.
Enforce the guidelines : The guidelines should be enforced by regulators, industry groups, and other relevant organizations to ensure that AI technology is used in a responsible and ethical manner.
Overall, developing guidelines for AI technology requires a collaborative effort from various stakeholders to ensure that the technology is used in a way that is beneficial for society as a whole.
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