AI Ethics

Artificial intelligence (AI) is the tech buzzword of the moment, and for good reason. Its transformative potential is already revolutionizing industries and shaping our future.

Its role in both everyday life and the world of work is now undeniable.  Machine Learning, combined with IoT and industrial automation technologies, has emerged as a disruptive force in the evolution of production processes across all economic and manufacturing sectors. 

The fact that these solutions can be widely deployed is intensifying the debate about the control and discipline of Artificial Intelligence. The ability to identify, understand and, where necessary, limit the applications of AI is clearly linked to the ability to derive sustainable value from it

First and foremost, the focus must be ethical, to ensure that society is protected based on the principles of transparency and accountability. But it is also a business imperative. Indeed, it is difficult to incorporate AI into decision-making processes without an understanding of how the algorithm works, certainty about the quality of the data, and the absence of biases or preconceptions that can undermine conclusions.

The AI Act from principles to practice

The European Union's commitment to ethical AI has taken a significant step forward with the preliminary adoption of the AI Act, the first regulation on AI to create more favourable conditions for the development and application of this innovative technology. This legislation aims to ensure that AI deployed within EU countries is not only safe and reliable but also respects fundamental rights, upholds democratic principles, and promotes environmental sustainability.

It is also important to note that the AI Act is not about protecting the world from imaginary conspiracy theories or far-fetched scenarios in which new technologies take over human intelligence and lives. Instead, it focuses on practical risk assessments and regulations that address threats to individual well-being and fundamental rights.

In other words, while it may sound like the EU has launched a battle against robots taking over the world, the real purpose of the AI Act is more prosaic: to protect the health, safety and fundamental rights of people interacting with AI. Indeed, the new regulatory framework aims to maintain a balanced and fair environment for the deployment and use of AI technologies.

More specifically, the framework of the AI Act revolves around the potential risks posed by AI systems, which are categorised into four different classes:

  • Unacceptable risk: Systems deemed to pose an unacceptable threat to citizens' rights, such as biometric categorization based on sensitive characteristics or behavioural manipulation, are strictly prohibited within the EU.
  • High risk: Systems operating in sensitive areas such as justice, migration management, education, and employment are subject to increased scrutiny and regulation. For these systems, the European Parliament requires a thorough impact assessment to identify and mitigate any potential risks, ensuring that fundamental rights are safeguarded.
  • Limited risk: Systems like chatbots or generative AI models, while not posing significant risks, must adhere to minimum transparency requirements, ensuring users are informed about their nature and the training data used to develop them.
  • Minimal or no risk: AI applications such as spam filters or video games are considered to pose minimal or no risk and are therefore not subject to specific restrictions under the AI Act.

Understanding the above categorization is fundamental for organizations to accurately assess their AI systems. It ensures alignment with the Act's provisions, allowing companies to adopt the necessary measures and compliance strategies that are relevant to the specific risk category of their AI systems.

In short, the EU AI Act represents a pivotal moment in the EU's commitment to the responsible development and deployment of AI, setting a precedent for other jurisdictions around the world. By prioritizing ethical principles and establishing regulatory guidelines, it paves the way for a future where AI improves our lives without compromising our fundamental rights and values.

Infrastructure AI and Expertise

Infrastructure AI and Expertise

Our relationship with technology and work is about to change. As AI becomes the driving force of a new industrial revolution, it is imperative that we better equip ourselves to remain competitive and meet new business needs.

As we have seen, in the age of Artificial Intelligence (AI), where Large Language Models (LLMs) and Generative AI hold enormous potential, the need for robust control measures has become a critical component. While these cutting-edge technologies offer groundbreaking capabilities, their inherent complexity requires careful oversight to ensure responsible and ethical deployment. This is where Infrastructure AI systems come in, providing the necessary tools to manage AI models with precision and transparency.

Infrastructure AI systems like Radicalbits platform are meticulously designed to address the critical challenge of AI governance. A solution that not only simplifies the development and management of AI, but also enables organizations to gain deep insight into the inner workings of these complex models. Its ability to simplify complex tasks and provide granular oversight makes it an indispensable asset for companies seeking to harness the power of AI ethically and effectively.

In this scenario, Europe faces a new challenge: the need for proficient expertise. Indeed, to unlock the full potential of AI, we need a mix of skills that includes domain and process expertise as well as  technological prowess.

Infrastructure AI, the foundation upon which AI models are built and deployed, requires a diverse set of skills. It’s not just about coding and algorithms: it's about encompassing an ecosystem of platforms and technologies that enable AI to work seamlessly and effectively.

Newcomers to the AI field will therefore need a mix of technical skills and complementary expertise to be successful. Domain expertise is critical for identifying challenges, while process skills facilitate the development of AI solutions that are not only effective, but also sustainable and ethical. The ability to think critically, solve problems creatively, and prioritize goals over rigid instructions will be essential.

How to support responsible AI development

The need for companies to regularly monitor the production and use of AI models and their reliability over time is highlighted by the new regulatory framework being promoted by the EU. To prepare for the new transparency and oversight requirements, it is essential to focus on two areas. 

First, the issue of skills, particularly in the context of the Italian manufacturing industry. It’s well known that the asymmetry between the supply and demand for specialized jobs in technology and Artificial Intelligence, to name but two, slows down growth and damages the economy. 

In this transformative era, Italy is uniquely positioned with its strong academic background and technological expertise. By combining Italian skills and technologies, we can harness the transformative power of Infrastructure AI to promote responsible AI development and to establish ethical AI governance practices. Our history of innovation and technological advancement, together with the capabilities of Infrastructure AI, could  provide a competitive advantage in this field.

The second point is technology. Tools that support the work of data teams (Data Scientists, ML Engineers) in creating AI-based solutions provide companies with a real competitive advantage. This is where the term MLOps comes in, referring to the methods, practices and devices that simplify and automate the machine learning lifecycle, from training and building models to monitoring and observing data integrity.

Conclusions

The adoption of the EU AI Act marks the beginning of a transformative era in AI governance. It’s a first, fundamental step towards ensuring that AI systems play by the rules, follow ethical guidelines and prioritize the well-being of users and society. 

It should now be clear that it can serve as a proactive measure to prevent AI from becoming wild and uncontrolled, and instead foster an ecosystem where AI operates responsibly, ethically and in the best interests of all stakeholders.

On this exciting path towards responsible and sustainable AI, both cutting-edge technology solutions and skilled workforce are essential to unlock the full potential of AI, while safeguarding our values and the well-being of society. The smooth integration of expertise and cutting-edge technology is therefore the real formula for unlocking the full potential of AI.

This is the approach we take at Bitrock and in the Fortitude Group in general, where a highly specialized consulting offering is combined with a proprietary MLOps platform, 100% made in Italy. And it is the approach that allows us to address the challenges of visibility and control of Artificial Intelligence. In other words, the ability to fully, ethically and consciously exploit the opportunities of this disruptive technology.