The Use of Artificial Intelligence in the Valuation of Intellectual Property Assets.

The Nature of the Economic Valuation of Intellectual Property Assets.

The economic valuation of Intellectual Property (IP) assets is a vital field that contributes to enhancing the national economy by protecting innovations and creations. In Egypt, significant steps have been taken in this regard, most notably the establishment of the Egyptian Intellectual Property Authority (EIPA), which aims to develop policies for the valuation and exploitation of state-owned IP assets, in addition to training and raising awareness among the private sector on how to economically benefit from these assets.

Artificial Intelligence (AI) is changing the world through international relations and is working to facilitate rapid decision-making. The use of AI applications generally touches all sectors, particularly when we focus, through the current study, on the economic valuation of IP assets. Predictive models and algorithms can be created to process and analyze data. This makes resorting to the use of these applications the available and fastest solution for resolving issues in finalizing commercial transactions and the disputes arising from them.

If we refer to the IP assets intended for valuation, we do not, of course, mean only patents, but the valuation extends to include all types of intellectual property, all associated rights revolving around them, and other forms of protection such as copyright and related rights, trademarks, geographical indications, and other forms of rights resulting from intellectual property.

However, in light of modern development and the recourse to using AI applications in all aspects of life, and some resorting to measuring the economic value of assets, especially in the field of patents, through a set of mechanisms for exploiting or compensating for these rights, and the resulting economic advantages derived from intellectual property rights.

In the Arab region, protecting intellectual property rights is an essential need to enhance economic growth and competitiveness, and to encourage innovation and entrepreneurship. These rights contribute to the dissemination of technical knowledge while ensuring the protection of innovators' rights, which supports social and economic development and contributes to achieving sustainable development goals.

AI tools have been developed for use, for example, but not limited to, in trademark searching and for accurately processing registration applications within seconds, as a standard for trademark distinctiveness and a standard for the originality of a design. This has also been reflected in the use of these technologies and applications in the economic valuation of IP assets and the speed of completing commercial transactions between companies using these applications to value IP assets.

The most important applications of AI are embodied in its role as a smart and advanced support system that can help the human mind perform its work better. It is a system built on complex programs that propose solutions, suggestions, and exchange/reconciliation of the operations it performs in some way, assisting valuers in making decisions and conducting assessments that help various institutions.

AI and its applications enhance the ability to assist valuers and owners of international cross-continental institutions regarding the approximate value of IP assets quickly and highly efficiently when these institutions request a valuation of their assets and wish to be informed of the latest development of their value. These institutions have worked to stimulate and implement these technologies and integrate them, also extending to assisting and enabling the judiciary and arbitration in the rapid resolution of cases and ongoing disputes concerning compensation for infringements of intellectual property rights, and the prompt compensation of the aggrieved party through a quick and fair valuation using these programs to help them resolve cases and issue their judgments.

AI also contributes to improving the management of intellectual property assets. In the modern digital age that we live in, which is rapidly evolving faster than the previous rate of technological development, intellectual property assets and rights in general, through their correct exploitation, have become among the most important competitive assets between companies and institutions across all fields. With the accelerating pace of technological change, managing and protecting these rights through their valuation faces diverse and complex challenges. AI is considered one of the most prominent of these technologies that can be relied upon for the economic valuation of assets.

Companies and institutions that possess these assets can, through their automation, have the ability to identify and register these rights, as well as all resulting rights, exploit them accurately, and track and combat potential infringements and fraud. 

Achieving these goals becomes increasingly complex with the normal tools previously used or the conventional valuation methods. This is where the role of AI technologies emerges to provide innovative and rapid solutions to these challenges.

The Advantages of Using AI Applications Are Numerous:

The advantages of using AI applications are centered in light of the international trend and the focus of most developers and researchers on using AI technologies and applications to try to reduce reliance on the human element, and to work on achievement and reaching the highest result based on facts rather than assumptions. Based on the data entered into the program, a specific result can be reached without being affected by any external influences or unforeseen circumstances.

In addition to achieving other benefits such as cost reduction, improved decision-making, predictive analytics, productivity and innovation, scalability and flexibility, and risk mitigation.

Conversely, just as AI has advantages, it also has multiple disadvantages, which can be summarized as follows:

- Inaccuracy in Analysis: This is considered one of the main drawbacks of using AI applications in the economic valuation of intellectual property assets. These applications rely on historical data and mathematical models that may not fully reflect the complexities and fine details associated with IP assets, such as patents or trademarks. Errors in data entry or a lack of specialized information can lead to inaccurate results. Furthermore, algorithms may fail to interpret external influencing factors, such as market changes or new laws. These limitations weaken AI's ability to accurately estimate the true value of assets. This definitively affects the economic valuation.

- Other Drawbacks: These include a lack of flexibility, data bias, legal and ethical challenges, and poor handling of exceptions. AI applications may face difficulty in dealing with exceptional or unique cases in intellectual property assets. This can lead to inaccurate valuations or valuations that are inconsistent with reality.