WISE AI: The Alliance between Innovation and Copyright

Navigating the New Era of Data: Harmony between Technological Growth and Creative Protection

Before delving into the business model of WISE AI, let's consider a recent clash between copyright holders and Generative Artificial Intelligence platforms. The issue of technological innovation versus copyright protection is an age-old dilemma, which has found a new battleground in the emergence of data scraping. This technique, involving automated data collection from online resources, serves as the engine fueling Artificial Intelligence (AI) models, providing them the necessary "fuel" to learn and evolve. At the same time, it has triggered a set of complex legal and ethical issues, particularly in the artistic field, where art is not only a deep expression of the human being but also a means of livelihood.

The growing discontent among artists, who see the unauthorized use of their works to train AI models as a violation of their rights, has shed light on a crucial issue. Some have abandoned platforms like DeviantArt and Art Station, while others have waged legal wars to claim their rights. In response, innovative solutions like Nightshade have been designed, an initiative led by Professor Ben Zhao's lab at the University of Chicago. Nightshade subtly alters the pixels of an image, eluding human perception but confusing machine learning models, thus providing a line of defense for artistic works.

This scenario highlights an even broader challenge, that of harmonizing innovation with copyright protection in an era of rapid AI evolution. AI not only promises to renew the way we interact with the digital world but also how we create, share, and monetize knowledge and creativity. And it's in this context that the WISE AI business model emerges, outlining a path for fruitful coexistence between the technological realm and copyright.

A New Business Horizon: Between Copyright and AI Training Needs

Exploring the vast ocean of digital possibilities, we are faced with a conflict between copyright protection and the increasing need for data to train Generative Artificial Intelligence (AI) models.

Creating a business model that can act as a mediator between these two worlds represents an exhilarating challenge. The heart of this endeavor lies in the in-depth exploration of business models that are inclusive for both parties.

The framework we are moving in is dominated by generative AI platforms, such as ChatGPT, which derive sustenance from transformer technology, hungry for a vast amount of data for training. ChatGPT has flung open the doors to a universe of possibilities, showcasing to the world the potential of generative AI. Its cross-sectional nature evokes the image of a living encyclopedia, where interaction on any topic yields sensible and informed responses. However, the promise of encyclopedism shows its cracks when it comes to highly specific and specialized themes.

Dreaming beyond, the image of a "super artificial intelligence" (super AI) that rises well beyond human intelligence in all fields, invites us to imagine a future of more advanced and specialized AI. But with the evolution towards super AI, a myriad of technological and ethical issues also emerge, prompting us to reflect on the implications of such transition.

The history of human evolution and nature in general has always blessed the path of specialization over the promise of absolute omniscience. Specialization, with its demand for fewer resources, greater control, and inclusion of a wide spectrum of economic subjects, appears as a more logical direction for both AI research and market, particularly generative AI.

An evolutionary trend is already manifesting, with a multitude of startups and software houses embracing generative AI in their projects, designing an ecosystem where specialized AI branches out into areas such as finance, information, engineering, marketing, and entertainment. However, this expansion does not quench the copyright dilemma but could potentially amplify it with the increase of the subjects involved.

The lens of publishing history reveals an intriguing model. Imagining entities like OpenAI as a kind of library or, better, the Amazon of knowledge, new horizons are glimpsed. Now, platforms like ChatGPT offer access to a vast sea of information, allowing us to interact with a significant portion of human culture in an immediate and simple way. But, as in interaction with a learned friend, we receive answers that illuminate the scenario we want to explore, but rarely scratch the surface of more specialized details. In the real world, we turn to specialists or purchase books to satisfy our thirst for knowledge. Could this mechanism transfer into the domain of platforms like ChatGPT? Could we, faced with a burning question, purchase specialized licenses that allow generative AI platforms to respond more accurately and comprehensively? With the purchase of additional licenses to access verticalized training on specific sources, users could enhance the ChatGPT platform according to their needs. This modality could not only pose a solution to the copyright problem but would also offer OpenAI the opportunity to focus on the evolution of the platform, expanding its economic income sources and attracting a broader audience.

WISE AI Collaborations: The Union between AI and Data Holders

A business model capable of harmonizing the economic expansion objectives of generative Artificial Intelligence platforms with the needs of data holders, forming an alliance that aims to overcome the turbulent challenges of data scraping, is named WISE AI. This targeted cooperation aims to respect copyright while simultaneously offering fertile ground for training AI models.

Imagine a scenario where OpenAI and the Wall Street Journal forge a collaboration, giving birth to a library called "WISE Wall Street Journal," a resource specialized in the world of finance. In this vision, users could access, for a fee, a version of ChatGPT enriched by training on articles and financial data provided by the Wall Street Journal, thus ensuring more accurate and in-depth financial analysis. Each sale of a license to use the "WISE AI Wall Street Journal" library would see a percentage of the proceeds recognized to the Wall Street Journal, keeping the copyright firmly in the hands of the data provider, while the marketing of the derived knowledge would remain with OpenAI.

This cooperation allows AI platforms like OpenAI to legally access indispensable data for training, while simultaneously allowing data holders to capitalize on their resources in a copyright-compliant manner.

Users, on their part, benefit from the use of an enhanced generative AI platform, capable of providing precise answers on specialized issues in the world of finance thanks to the information provided by the Wall Street Journal.

The denomination "WISE AI" recalls a Warranted, Integrated, Specialized, and Empowered method in the field of AI. This model provides a structure in which the sharing and use of data respect copyright, while promoting vertical specialization and holistic integration of informational resources, thereby expanding the capabilities and expertise of generative AI across a wide range of application domains.

The employment possibilities of this model are essentially limitless, embracing the broad spectrum of human culture and initiating a new data economy attentive to copyright. In this economy, copyright holders discover new avenues of distribution and monetization, while new economic and entrepreneurial entities emerge focused on generating assets based on multimodal data, encompassing every form of knowledge and human expression translatable into digital bits.

The "WISE AI" model represents a tangible testament to how innovation in the field of AI can proceed in harmony with copyright, outlining a promising path to harmonize technological innovation with legal protection.

A further merit of the "WISE AI" economy is the distinction it creates between two categories of business models, and consequently, of companies in the field of generative AI. On one hand, we have companies focused on the technological development of AI; on the other, entities focused on data for training platforms. This distinction, by analogy, recalls the difference between those who build cars and those who supply fuel, thus delineating an ecosystem in which technology and data move in symbiosis, fueling the continuous evolution of generative artificial intelligence.

WISE AI Collaborations: The Union between AI and Data Holders

The WISE AI approach manifests in the intricate world of Artificial Intelligence (AI) business, proposing a structure where data flow and monetization meld into a harmonious framework.

Delving into the example of the collaboration between OpenAI and the Wall Street Journal (WSJ), we glimpse a win-win panorama unfolding before us. The WSJ transforms into a provider of valuable data, fueling the WISE Wall Street Journal Library with its articles, and giving birth to an invaluable resource for more precise and in-depth financial analysis. This library not only enriches OpenAI's AI platform, but also carves out a new revenue channel for the WSJ. Beyond the traditional sale of subscriptions and advertising spaces, the WSJ now envisions earnings from the sale of WISE Wall Street Journal licenses. The resonance of this specialized library naturally finds its place in the pages of the WSJ, increasing the visibility and allure of the library on OpenAI, and triggering a virtuous cycle of value.

For its part, OpenAI warmly welcomes a stream of specialized data, a sap that enhances the quality and precision of the analysis provided by its platform. The sale of additional licenses represents a new river course of funding for OpenAI, while the WSJ stands as a publicity banner for the AI platform. In this way, a symbiotic ecosystem is designed, where data holders and AI platforms mutually nourish from the collaboration, and end users find themselves exploring a more specialized and focused AI service.

Casting a gaze towards the horizon, WISE AI Collaborations outline the path towards a more sustainable and ethical data ecosystem. The emergence of specialized libraries acts as a catalyst in an ecosystem where content creators receive rightful recognition for their work, while transparency and fairness in resource distribution stand as pillars for the construction of a fair and sustainable market.

WISE AI Collaborations transcend mere commercial transaction; they manifest as a paradigm shift that projects a future where technological innovation and legal protection coexist in symbiosis, contributing to the weaving of a richer and mutually advantageous knowledge ecosystem.

Multi-License WISE AI Model

Let's continue the course of the example, purely hypothetical, of a collaboration between the Wall Street Journal and OpenAI. Here we explored the potential of a ChatGPT enhanced by the data of a prestigious news outlet. But now, let's broaden the horizon and imagine a sea of additional libraries opening up before us.

Imagination takes us aboard another collaboration, this time between OpenAI and the Sole 24ORE group, giving life to a new WISE AI 24ORE library. And if a user decides to navigate in both these waters, purchasing the licenses of both libraries? They would find themselves navigating in a ChatGPT enriched by training on both data sources, a sort of compass pointing towards both the global vision of finance offered by the Wall Street Journal and the deep understanding of the Italian entrepreneurial world offered by Sole 24ORE. For an Italian entrepreneur, this represents a treasure of knowledge flowing through the currents of ChatGPT, a compass that allows them to navigate the tumultuous waters of finance and entrepreneurship with a clear and informed vision.

But the journey doesn't stop here, the additional licenses are not isolated islands, but archipelagos of knowledge that can be explored together. They are like pieces of a puzzle that, once united, form a larger and more complete picture. The licenses add up to each other, creating a GEN AI platform that not only maintains its robust knowledge base but expands and enriches with every new specific information the user wishes to incorporate to better meet their expectations from the platform.

And so, the WISE AI multi-license model unveils itself not only as a bridge between different sources of knowledge but as a network connecting various domains of expertise, offering users an AI platform that can be shaped and enriched according to individual needs. It's a model that promises informed navigation, a journey of discovery that adapts and evolves with the needs of the navigator, ensuring an informative and enriching traverse in the vast ocean of knowledge.

Broadening the Horizon: WISE AI Goes Beyond Text

Navigating the WISE AI model is akin to sailing an ocean of possibilities, where each wave takes us beyond the horizon of text, unveiling the allure of multimodality. Generative AI platforms, such as ChatGPT, Bing, and BARD, are not content with dancing in the sole arena of text, but extend their choreography to the stage of image recognition and analysis. This multimodal ability sketches a digital embrace that envelops every form of communication or knowledge that can be captured in bits.

To breathe life into this idea, we leave behind the effervescence of Wall Street and move to the placid shores of the Arno, in the pulsating heart of Florence, a city immortalized as the cradle of the Renaissance, aspiring to weave a canvas of even richer global visibility. Although a search on one of the generative AI platforms may already open a window onto Florence, the detail and depth that its majestic history requires could remain hidden among the digital folds.

Here's where the WISE AI model makes its entrance. Imagine the city institutions amass a treasure of information, a mosaic of texts and images narrating Florence in its entire historical and cultural magnificence. This chest of knowledge is then orchestrated through a WISE AI model, making the heritage available to generative AI platforms. The WISE AI Florence license could not only repay the investments required for the collection of such heritage, but also project the city in a shining light on the stage of AI platforms.

Now, envision an American tourist, whose fantasies have been captured by images of Florence. With a burning desire to explore, they upload the image onto a platform enabled by the WISE AI Florence license and begin interacting with artificial intelligence. The responses they receive weave a detailed picture not only of the uploaded image, but the platform also becomes a compass offering advice on how to plan their Florentine adventure, based on the provided images and expressed curiosities.

Thus, Florence not only expands its digital aura but also becomes a personalized guide for visitors, enriching their experience. This guide, always at hand through smartphones or tablets, accompanies the tourist from the planning phase to the tangible discovery of the city.

And if the city institutions should hesitate in taking the initiative for the creation of the WISE AI Florence library, the baton could be picked up by travel agencies or trade associations. The goal remains firm: to rise on the global scene and make the visit to the city an easy, informed, personalized, and guided journey.

The digital metamorphosis through the WISE AI model not only changes our dialogue with information but also opens unknown doors to valorize global cultural and historical heritage. Cities like Florence approach the world, weaving a continuous and personalized dialogue between past and future, building a digital bridge that unites cultures, epochs, and hearts in a timeless dialogue.

The Future of Data: A Sustainable Ecosystem

The crucial question that arises, however, concerns the sustainability of the ecosystem that is taking shape. The WISE AI business models act as a compass that could lead us towards calmer waters, where the interaction between technology and copyright unfolds with mutual awareness and respect. The idea of specialized "libraries" not only sharpens the capabilities of AI, but also sows the seeds of an ecosystem where content creators see a fair compensation for their ingenuity flourish. In this landscape, transparency and fairness in the distribution of resources erect robust pillars for a market aspiring to be fair and sustainable.

Beyond mere economics, a panorama of deep social and cultural implications unfolds. The adoption of a business model that weaves together innovation and copyright protection is not just a legal or economic crossword, but a paradigmatic change that resonates through the fabric of society. Democratic access to knowledge, the celebration of creative individuality, and the cultivation of a culture of responsible sharing intertwine with the threads of the technological plot, defining the design of future society. The evolution of AI is not an isolated odyssey but navigates the tumultuous waters of the sociocultural context in which it finds itself, and the proposed business models are a reflection of this intricate interconnection.

Despite the allure of a business model that seems to extend a hand towards a balance between innovation and copyright, the route towards its realization is strewn with rocks. Data safeguarding, privacy, and the articulation of clear regulations are critical islands requiring cautious navigation. On the other hand, the horizon is rich in opportunities. The emergence of a diversified market, with a multitude of actors contributing to the economy of knowledge, draws a fertile archipelago for continuous innovation and value creation.

Investments and Returns: The Economic and Technological Path towards the WISE AI Model

The first step towards the embodiment of the WISE AI model is a robust investment. This is a multifaceted commitment that encompasses the development of technological infrastructures, software innovation, and the acquisition of specialized talents. And not least, it's the navigation through the labyrinth of legal regulations and compliance issues, a necessary journey to ensure unwavering respect for copyright. This initial phase, although demanding in terms of resources, lays the foundations for a more ethical and sustainable data ecosystem.

Return on Investment (ROI) is the beacon that guides the initial efforts. The ambition of WISE AI is to weave an ecosystem where the monetization of information marries ethics, and where the expansion of the capabilities of AI platforms, like ChatGPT, through specialized libraries, opens new income channels and broadens the client horizon. It's a promising landscape, where responsible data sharing not only enhances AI effectiveness but also creates fertile ground for ethical and sustainable monetization.

The flywheel of technological evolution could prove to be a precious ally. Advancements in machine learning models, blockchain technologies for digital rights management, and data marketplace platforms could significantly reduce the associated technological costs, facilitating the path towards the enactment of the WISE AI model.

In this journey, collaborations and partnerships play a forefront role. The alliance with copyright holders, publishers, and other stakeholders can smooth obstacles and create a network of mutual benefits that accelerate the model adoption. It's a dialogue that promises to enrich the ecosystem, offering common ground for growth.

However, the horizon is not without clouds. In a continuously evolving market, the presence of competing business models could pose a challenge. Differentiation and the offer of added value will be crucial to attract and retain users.

Beyond the immediate horizon, the implementation of the WISE AI model could place generative AI platforms in an advantageous position to take advantage of future market evolutions. This is a prospect that transcends simple ROI, envisaging the creation of a robust foundation for sustainable growth in an increasingly data-oriented world.

Conclusion

In a world where technological innovation seems to dance to increasingly frantic rhythms, the issue of copyright protection in the realm of Artificial Intelligence (AI) resonates as a complex melody, often discordant. On one side, there is the decisive stride towards the efficiency and specialization that AI promises, on the other, the solemn call for the protection of the creative and intellectual integrity of authors. In this polyphonic scenario, the WISE AI business model steps forward as a harmonic note, a pragmatic proposal seeking to tune an accord between the parties.

The WISE AI model unveils a design of balance and sustainability, attempting to compose a symphony that welcomes the needs of generative AI platforms and copyright holders. Through a system of specialized licenses, the possibility of orchestrating an ecosystem where sharing and data usage elevate the art of sustainability to the norm is glimpsed. It thus draws a finale for the ethical and legal dilemma of data scraping, proposing a model that dances to the rhythm of consensus and reciprocity.

This is not merely an answer to a thorny issue but a radical rephrasing of market dynamics within the realm of AI. The image of generative AI platforms transformed from simple "generalist libraries" to "specialized libraries" sketches a new choreography, where more targeted and effective services take the stage. This not only broadens the market stage for these platforms but opens new scenes for data and copyright holders.

The future scenario unfolds between challenges and opportunities. The initial investment, legal, and compliance issues loom as complex passages of the composition, but the opportunities profile rich in promises. New collaborations and partnerships could emerge, weaving a more robust and sustainable data ecosystem. Harmony might be facilitated by the adoption of emerging technologies, such as blockchain for digital rights management, easing the transition towards this new model.

At the center of this narrative is humanity, the creator and recipient of knowledge. The WISE AI model is not only an economic or technological proposal but a deep reflection on the ethics of knowledge sharing. A reflection that invokes a deep respect for human creativity and intellect, even in the fervor of innovation and technological progression.

The WISE AI model manifests as the emblem of a vision where innovation and copyright protection coexist in a harmonic ballet. A vision that, as we delve into the complex weaves of technical, legal, and ethical challenges, stands as a beacon, illuminating the path towards a more balanced, sustainable, and respectful ecosystem of humanity. It is a vibrant hymn to tomorrow, an invitation to sail with awareness and respect the stormy waves of innovation, navigating towards a horizon of shared sustainability.