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8 Ways Blockchain Can Revolutionize IP Licensing for AI Firms

8 Ways Blockchain Can Revolutionize IP Licensing for AI Firms

Generative AI, with its ability to create text, images, audio, and other forms of content, has ushered in a new era of technological innovation. It also faces a severe intellectual property (IP) licensing crisis. Generative AI firms often struggle with copyright infringement risks and unauthorized data usage issues due to opaque and inefficient traditional licensing systems, which pose significant legal and ethical challenges. As blockchain technology continues to evolve, it offers a promising solution to address the IP licensing dilemmas of generative AI firms. Below is a detailed exploration of this topic in my perspective.

The IP Crisis in Generative AI

Generative AI systems require vast amounts of data for training, often sourcing it from platforms like the internet. A significant portion of this data is protected by IP rights, and the data usage permissions are often unclear. Generative AI algorithms analyze massive volumes of unstructured data, such as news articles and images, to identify patterns and relationships. During this process, details like IP rights and compensation terms are frequently overlooked, raising concerns among content creators. The Getty Images lawsuit against Stability AI is a prime example. In 2023, Getty Images filed a case against Stability AI of unlawfully copying and processing millions of copyrighted images to train its software for commercial gain, seeking up to $1.8 trillion in damages.

The traditional IP licensing system worsens these issues. It is often opaque, inefficient, and lacks transparency. For instance, creators may struggle to track how their works are used by generative AI firms and whether they receive fair compensation. Meanwhile, AI firms may inadvertently infringe on IP rights due to complex and lengthy licensing procedures, leading to legal disputes. I was at a conference early this year and I remember the speaker said that over 60% of generative AI firms have encountered IP licensing-related challenges, with 30% facing legal lawsuits. If this is true, someone or some tech got to try to fix this. The first thing I can think of would be “blockchain”.

Blockchain’s Core Strengths

Blockchain technology, characterized by decentralization, security, and transparency, can effectively address the inefficiencies and trust deficits in current IP licensing models. Blockchain operates as a distributed ledger where all transaction records are stored across multiple nodes, making data tamper-proof and immutable. This ensures the authenticity and traceability of IP ownership and usage rights. Additionally, blockchain employs advanced cryptographic techniques to protect data security, preventing unauthorized access and tampering.

Smart contracts, a key feature of blockchain, enable the automation of licensing agreements. Once predefined conditions are met, smart contracts automatically execute the terms of the agreement, reducing reliance on intermediaries and minimizing human intervention. This ensures the objectivity and fairness of the licensing process while lowering administrative costs.

Blockchain Solutions for Generative AI’s IP Licensing Issues

1. Smart Contracts for Automated Licensing

Blockchain-based smart contracts can automate licensing agreements, ensuring that creators are promptly and fairly compensated while helping AI firms easily comply with licensing requirements. For example, when a photographer’s image is used in generative AI training, a smart contract can automatically trigger a payment to the photographer once the image is accessed. This eliminates the need for lengthy negotiations and manual payments, reducing costs and improving efficiency. Based on my observations, smart contracts could probably reduce IP licensing costs by 30%–50% while enhancing transparency and fairness. This is a win-win scenario.

2. Immutable Provenance for Ownership Clarity

Blockchain’s immutable ledger permanently records data ownership and licensing history, providing a reliable basis for resolving IP disputes. Each piece of data on the blockchain carries a unique digital signature and timestamp, making it easy to trace its origin and usage history. This prevents unauthorized use and infringement, protecting creators’ rights. For instance, when a dataset is licensed to a generative AI firm, the blockchain records every detail of the licensing process, including the licensing party, terms, and duration. Any unauthorized use of the dataset can be quickly identified and addressed.

3. Decentralized Marketplaces for Cost Reduction

Blockchain enables the creation of decentralized IP licensing marketplaces where creators and AI firms can directly engage in peer-to-peer transactions, bypassing intermediaries and reducing costs. Traditional licensing often involves multiple middlemen, such as licensing agencies and law firms, which increases costs and complexity. On a blockchain-based decentralized marketplace, creators can directly publish and license their works, while AI firms can browse and purchase licenses based on their needs. This not only reduces licensing costs but also increases revenue for creators. For example, there are decentralized data marketplaces that allow data owners to control access to their data and receive compensation.

4. Enhanced Security Against Fraud

Blockchain’s cryptographic security mechanisms ensure the integrity and authenticity of licensing records, preventing fraud. All licensing information on the blockchain is encrypted and verified by multiple nodes, making it nearly impossible to forge or tamper with. This protects both creators and AI firms from false claims and ensures the reliability of each transaction. Another example that I would like to quote-  fake licenses cannot be validated on the blockchain, preventing AI firms from suffering losses due to fraudulent licenses and safeguarding creators’ rights.

5. Transparency to Build Accountability

The open and transparent nature of blockchain makes all licensing transactions visible to all parties, fostering trust and simplifying compliance for AI firms and regulators. Creators can track the usage of their works in real time, while AI firms can demonstrate compliance with licensing agreements to regulators and the public. This transparency helps build trust between creators and AI firms, fostering collaboration. Take the European Union’s Artificial Intelligence Act for instance, which took initial effect in August 2024, requires generative AI models to disclose the copyrighted works used during training. A blockchain-based platform could provide detailed records of training data sources and usage, helping AI firms meet regulatory requirements.

6. Tokenization for Flexible Licensing

Through tokenization, blockchain can transform IP assets into digital tokens, enabling flexible and scalable licensing models. Creators can issue tokens representing the usage rights to their works and sell them on blockchain platforms. AI firms can purchase the tokens they need based on their requirements. This not only provides creators with new revenue streams but also offers AI firms greater flexibility in accessing data. A musician could tokenize the licensing rights to their songs and sell them to generative AI firms. These firms could then use the songs to train music generation models while paying the musician via token-based payments.

7. Global Scalability and Compliance

Blockchain technology operates across borders, enabling generative AI firms to manage IP licensing on a global scale while complying with international regulations. Different countries have varying IP laws and regulations, making cross-border licensing complex. Blockchain’s standardized protocols and rules can simplify cross-border licensing processes, reduce legal risks, and facilitate global collaboration. Blockchain platforms could manage datasets licensed from multiple countries, ensuring compliance with each country’s IP laws while streamlining licensing procedures.

8. Future-Proofing for AI’s Evolution

Blockchain’s adaptability allows it to address emerging IP challenges as generative AI evolves, offering a long-term solution. As generative AI technologies advance, new IP issues may arise, such as ownership disputes over AI-generated content. Blockchain’s smart contracts and decentralized architecture can evolve to meet these new challenges. Future smart contracts could define usage rights and revenue-sharing mechanisms for AI-generated content, ensuring fair compensation for all stakeholders.

Existing Challenges and Prospects

Despite blockchain’s potential to resolve generative AI’s IP licensing issues, several challenges remain. First, technical barriers need to be overcome. Blockchain technology is still evolving, and its integration with generative AI systems requires significant technical effort. Achieving real-time tracking and recording of data usage in generative AI training while ensuring blockchain performance and scalability is a complex technical challenge.

Second, regulatory uncertainty persists. The legal status of blockchain-based IP licensing and the regulatory requirements for smart contracts remain unclear in many countries. This creates uncertainty for both creators and AI firms. Third, market adoption is slow. Transitioning from traditional licensing models to blockchain-based ones requires time and effort. Both creators and AI firms need to adapt to new technologies and processes, and the market requires time to mature.

In my view, the future prospects are promising. As blockchain technology matures and regulatory frameworks gradually improve, its application in generative AI IP licensing is likely to expand. More creators and AI firms will recognize the benefits of blockchain and adopt it for IP licensing. It could become the standard solution for addressing IP licensing issues in generative AI, driving the healthy development of the generative AI industry.

In conclusion, generative AI firms face a severe IP licensing crisis, while blockchain technology offers a powerful solution. By leveraging blockchain’s decentralization, security, transparency, and smart contracts, among other features, generative AI firms can address IP licensing challenges, protect creators’ rights, and achieve sustainable development. Although challenges remain in areas like technology, regulation, and market adoption, with ongoing advancements in blockchain technology and increased collaboration among stakeholders, blockchain is expected to play an increasingly significant role in resolving generative AI’s IP licensing issues. It will pave the way for the healthy growth of the generative AI industry and foster innovation and development in the digital economy era.

 

Source: https://www.securities.io/8-ways-blockchain-can-revolutionize-ip-licensing-for-ai-firms/

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

www.anndy.com
j j j

How ZKPs Can Revolutionize the GameFi Market

How ZKPs Can Revolutionize the GameFi Market

GameFi, or financialized gaming, is one of the blockchain industry’s most exciting and innovative segments. It combines elements of gaming, decentralized finance (DeFi), and non-fungible tokens (NFTs) to create immersive and rewarding experiences for players. It enables players to own, trade, and monetize their in-game assets and currencies and participate in the governance and development of the games they play. It also offers new opportunities for game developers, who can leverage blockchain technology to create more engaging, fair, and transparent gaming ecosystems.

As we all know, GameFi also faces some significant challenges and limitations, especially regarding scalability, privacy, and security. As the number of GameFi projects and users grows, so does the demand for fast, cheap, and secure transactions on the blockchain. However, most blockchain networks today suffer from low throughput, high fees, and congestion, which can negatively affect the user experience and adoption. Moreover, many GameFi applications require users to reveal their personal and financial information on the public ledger, which can expose them to various risks, such as identity theft, fraud, hacking, and censorship.

This is where zero-knowledge proofs (ZKPs) come in. ZKPs are a cryptographic technique that allows one party to prove to another that a statement is true without revealing any information beyond the validity of the statement. For example, Alice can prove to Bob that she knows the password to a website without revealing the password itself. ZKPs can be used to create more scalable, private, and secure solutions for GameFi and other blockchain applications.

How ZKPs Can Address the Limitations of Web2.5 and Web3 Gaming Models

To understand how ZKPs can benefit GameFi, comparing the current gaming models, Web2.5 and Web3 is useful.

Web2.5 gaming refers to the traditional online gaming model, where games are hosted on centralized servers controlled by game developers or publishers. In this model, players have no real ownership or control over their in-game assets and currencies, which are stored in the game databases and can be modified or deleted at any time by the game operators. Players have to trust the game operators to provide fair and secure gameplay and protect their personal and financial data. Such a model is also limited by the capacity and performance of the centralized servers, which can result in latency, downtime, and hacking.

Web3 gaming refers to the emerging blockchain-based gaming model, where games are hosted on decentralized networks powered by smart contracts and distributed nodes. In this model, players have full ownership and control over their in-game assets and currencies, represented by NFTs and crypto tokens on the blockchain. Likewise, players can verify the fairness and security of the gameplay and the authenticity and scarcity of the in-game assets by checking the transparent and immutable ledger. It also enables interoperability and composability, meaning players can use their in-game assets and currencies across different games and platforms.

There are drawbacks to Web3 gaming, mainly related to scalability, privacy, and security. As mentioned earlier, most blockchain networks today cannot handle the high volume and frequency of transactions required by GameFi applications, leading to slow, expensive, and unreliable transactions. Furthermore, most blockchain networks today cannot protect the privacy and security of the users, who have to expose their identities, balances, and activities on the public ledger, making them vulnerable to various attacks and threats.

ZKPs can help overcome these challenges by enabling more scalable, private, and secure solutions for Web3 gaming. For instance, ZKPs can be used to create layer-2 solutions, such as zk-rollups, that can process thousands of transactions off-chain while only submitting a single proof on-chain, thus reducing the load and cost on the main chain. It can also be used to create privacy-preserving solutions, such as zk-SNARKs, that can hide the details of the transactions, such as the sender, receiver, amount, and asset type, while still proving their validity on the blockchain. It can also be used to create security-enhancing solutions, such as zk-STARKs, that can resist quantum attacks and do not require trusted setup assumptions.

How ZKPs Can Influence the Development of Digital Economies and the Management of Virtual Assets in GameFi Projects

By enabling more scalable, private, and secure solutions for Web3 gaming, ZKPs can also influence the development of digital economies and the management of virtual assets in GameFi projects. Here are some of the possible implications and benefits of ZKPs for GameFi:

  • ZKPs can enable more efficient and inclusive digital economies where players can access and participate in various GameFi applications regardless of location, device, or network. It can also enable more diverse and dynamic digital economies, where players can create and exchange different types of in-game assets and currencies and interact with other blockchain applications, such as DeFi, NFTs, and DAOs.
  • ZKPs can enable more private and secure digital economies, where players can protect their personal and financial data, as well as their in-game assets and currencies, from unauthorized access and misuse. It can also enable more flexible and customizable digital economies, where players can choose the level of privacy and security they want for their transactions, depending on their preferences and needs.
  • ZKPs can enable more innovative and competitive digital economies where game developers can leverage the power and potential of blockchain technology to create more engaging, fair, and transparent gaming ecosystems. It can also enable more collaborative and cooperative digital economies, where game developers can collaborate and share resources and best practices to improve the quality and diversity of GameFi products.

Which Sector of the GameFi Industry Could Lead the New Market Stage

The GameFi industry comprises various sectors, such as iGaming, action games, move-to-earn, and others, each with its characteristics, challenges, and opportunities. While it is hard to predict which sector will lead the new market stage, it is possible to identify some of the factors that could influence the growth and success of each sector, such as:

  • The demand and popularity of the games among the players, as well as the potential to attract and retain new and existing users.
  • The quality and innovation of the games and the ability to provide immersive and rewarding gameplay experiences.
  • The integration and compatibility of the games with blockchain technology, as well as the ability to leverage the benefits of GameFi, such as ownership, interoperability, and governance.
  • The scalability and performance of the games, as well as the ability to handle the high volume and frequency of transactions and interactions.
  • The privacy and security of the games, as well as the ability to protect the users and their in-game assets and currencies from various risks and threats.

Based on these factors, one could argue that the move-to-earn sector could lead the new market stage, as it has shown strong growth and potential in the past year. Move-to-earn games reward players for moving or exercising in the real world, such as walking, running, cycling, or dancing.

Move-to-earn games have several advantages over other sectors, such as:

  • They have a large and untapped market, as they appeal to a wide range of users, from casual gamers to fitness enthusiasts and people who want to improve their health and well-being.
  • They have a high retention rate, incentivizing users to keep playing and moving and competing and cooperating with other players, creating a strong sense of community and loyalty.
  • They have a low entry barrier, as they do not require expensive or sophisticated equipment or devices but rather use the users’ smartphones or wearable devices, which are widely available and accessible.
  • They have a positive social and environmental impact, encouraging users to adopt a more active and healthy lifestyle and reduce their carbon footprint and pollution.

However, move-to-earn games also face some challenges and limitations, such as:

  • They have a high dependency on the users’ physical location and condition, as well as on the weather and other external factors, which can affect the availability and quality of the gameplay.
  • They have a high risk of fraud and cheating, as users can manipulate or falsify their movement data by using bots, hacks, or spoofing to gain unfair advantages or rewards.
  • They have a high demand for scalability and privacy, as they need to process and verify a large amount of movement data and protect the users’ personal and biometric data, which can be sensitive and valuable.

ZKPs can help address these challenges and limitations by enabling more scalable, private, and secure solutions for move-to-earn games. For example, ZKPs can create verifiable proofs of movement, proving that the users have moved a certain distance or performed a certain activity without revealing their exact location or identity. It can also create privacy-preserving rewards that can distribute in-game assets and currencies to the users without disclosing their balances or transactions.

What Other Technology Developments Could Help for the Surge in the GameFi Market

Besides ZKPs, other technology developments could help with the surge in the GameFi market, such as:

  • Layer-1 and layer-2 developments aim to improve blockchain networks’ scalability, performance, and interoperability by using different consensus mechanisms, sharding techniques, or sidechains. Some examples of layer-1 and layer-2 developments are Ethereum 2.0, Polkadot, Polygon, and Optimism.
  • Account abstraction simplifies and enhances the user experience and security of blockchain applications by allowing users to interact with smart contracts without managing their private keys, addresses, or gas fees. Some of the examples of account abstraction are MetaMask Argent, and Authereum.

These technology developments could complement and synergize with ZKPs, to create more scalable, private, and secure solutions for GameFi, as well as other blockchain applications.

Conclusion

GameFi is a rapidly growing and evolving segment of the blockchain industry that offers new possibilities and opportunities for both players and game developers. However, GameFi also faces some significant challenges and limitations, especially in terms of scalability, privacy, and security.

ZKPs are a powerful and promising cryptographic technique that can help overcome these challenges and limitations by enabling more scalable, private, and secure solutions for Web3 gaming. It can also influence the development of digital economies and the management of virtual assets in GameFi projects by enabling more efficient, inclusive, diverse, dynamic, flexible, and customizable digital economies. ZKPs can also enable more innovative, competitive, collaborative, and cooperative digital economies by enabling game developers to leverage the power and potential of blockchain technology to create more engaging, fair, and transparent gaming ecosystems.

ZKPs, along with other technology developments, such as layer-1 and layer-2 developments and account abstraction, could revolutionize the GameFi market and pave the way for the future of gaming.

 

Source: https://za.investing.com/analysis/how-zkps-can-revolutionize-the-gamefi-market-200594928

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

www.anndy.com
j j j