Revolutionising Trust in AI: The Power of MicroSignatures

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In an era where artificial intelligence (AI) increasingly intersects with critical sectors like healthcare, finance, legal and more, the importance of reliability and accountability in AI-generated advice cannot be overstated. Recent discussions, notably those led by AI researcher Ethan Mollick (see below), have shed light on a growing concern: the tendency for users to accept AI outputs at face value, potentially leading to a lapse in thorough verification and critical analysis. This phenomenon, fueled by the rapid advancement and accessibility of AI tools, raises significant questions about the trustworthiness and diligence in AI application.

At NotCentralised, we’ve responded to this challenge by developing a groundbreaking feature within our AI tool, SIKE, called a Microsignature. This is powered by Zero Knowledge Proof (ZKP) technology and represents more than just an advancement in AI functionality; it embodies a commitment to fostering a culture of responsibility and precision, especially in fields where the stakes are high and the margin for error is low. In this article, we delve into how the microsignature feature is setting new standards for trust and verification in AI, ensuring that the technology serves as a reliable partner rather than a sole decision-maker.

Understanding the MicroSignature Feature: A Blend of Innovation and Security

The MicroSignature, a key feature of NotCentralised’s SIKE AI tool, stands at the forefront of integrating AI with enhanced security and trustworthiness. At its core, the MicroSignature utilises Zero Knowledge Proof (ZKP) technology, a concept widely acclaimed in blockchain applications for its ability to validate data without revealing the underlying information. In the context of SIKE, this technology takes on a pivotal role.

When a professional, such as a doctor or financial adviser, uses SIKE to process and analyse information, the tool not only aids in organising and interpreting data but also empowers the user to authenticate the AI-generated output. Upon reviewing and approving the output, the professional can activate the MicroSignature. This action creates a ZKP, which serves as a digital attestation of their validation, without disclosing sensitive details of the data or the patient/client involved.

This process ensures a dual-layer of security and responsibility. Firstly, it maintains the confidentiality of the patient’s or client’s information — a cornerstone in professions bound by stringent privacy norms. Secondly, it embeds a sense of accountability in the professionals using AI tools. Knowing that their endorsement is recorded and could be subject to audit or review, professionals are incentivised to thoroughly assess the AI’s recommendations or analysis, reinforcing the diligent and responsible use of AI.

The implications of this feature extend beyond just recording an approval. It lays the foundation for a more transparent and accountable AI ecosystem, where decisions and validations are not just automated but also responsibly overseen. In the next section, we’ll explore how the MicroSignature feature aligns with NotCentralised’s broader mission and values, particularly in fostering a culture of secure and trustworthy AI solutions.

Aligning with NotCentralised’s Mission: Building Trustworthy AI

The introduction of the MicroSignature in SIKE is more than just a technological enhancement; it is a reflection of NotCentralised’s dedication to pioneering responsible and secure AI solutions. This commitment is rooted in our core belief that the future of AI lies not only in its computational prowess but also in its ability to earn and sustain user trust.

The MicroSignature feature addresses a critical aspect of AI deployment in sensitive fields: the need for a balance between automation and human oversight. By recording professional validations as ZKPs, SIKE offers a new paradigm where AI’s efficiency is complemented by human expertise and judgment. This synergy is crucial in fields like healthcare, finance, and legal services, where the implications of AI advice can be far-reaching and sometimes, life-altering.

Moreover, the potential use of blockchain technology to record these ZKPs opens up new avenues for enhancing the security and immutability of these digital attestations. Whether stored on a blockchain or a secure database, the recorded MicroSignatures serve as an immutable ledger of professional oversight, adding a layer of credibility to AI-generated advice.

In line with NotCentralised’s vision, the MicroSignature is not just a feature; it’s a step towards redefining the relationship between AI and its users across industries. It champions the cause of transparent and accountable AI, ensuring that the technology is used as a tool for enhancement, not replacement, of human expertise. As we continue to innovate and evolve, the microsignature feature stands as a testament to our commitment to developing AI solutions that are not only advanced but also aligned with the highest standards of ethics and responsibility.

Conclusion: Pioneering a New Era of Responsible AI

As we stand at the cusp of a new era in AI development, NotCentralised’s MicroSignature feature in SIKE exemplifies our commitment to pioneering AI solutions that are not only innovative but also ethically responsible. The integration of Zero Knowledge Proof technology in ensuring the accountability and transparency of AI outputs marks a significant step forward in building trust between AI systems and their human users.

Looking ahead, we envision a future where AI tools like SIKE are not merely seen as technological marvels but as partners in decision-making, enhancing professional judgment with data-driven insights. The MicroSignature feature is a cornerstone in this journey, ensuring that AI remains a tool guided by human expertise and ethical considerations.

As we continue to push the boundaries of what’s possible in AI, our focus remains steadfast on developing solutions that uphold the values of security, reliability, and trust. The journey of AI is an exciting one, and at NotCentralised, we are proud to be at the forefront, shaping a future where AI and human expertise collaborate to create better outcomes for all.

Stay tuned for more insights from us at NotCentralised and if you’re interested in SIKE then you can check out more on what it’s about here.

Or get in touch with us here.

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Mark
Monfort

Mark drives innovation with his deep understanding of AI, blockchain, and data technologies. His experience spans over 15 years of contributions to finance, technology, and operational strategy across Australia, Europe, and North America.

In 2021, he transitioned from Head of Data and Technology at a leading Australian accounting firm to startups. Prior to this, he worked in equity and macroeconomic research in the capital markets space.

Mark brings a passion for data and insights to NotCentralised. His understanding of AI and blockchain technology is central to the development of workplace productivity and financial system modernisation products, including SIKE and Layer-C. Mark’s dynamic and solutions-focused methods enable the navigation of complex technological landscapes and new market potentials.

Mark holds an Executive Master’s and a Bachelor of Commerce. He led the creation of the Australian DeFi Association and serves on the advisory board for the Data Science and AI Association of Australia. His commitment to such communities demonstrates his enthusiasm for emerging technologies and vision of positive change through technology adoption.

Nick
Bishop

Nick spearheads product strategy and institutional business development, leveraging a rich background spanning 23 years in capital markets and financial services across the UK, the US, and APAC.

In 2020, Nick transitioned into startups, bringing extensive experience in asset management and corporate advisory from roles including Director, Head of Australian Fixed Income at Abrdn and Managing Director, Head of Corporate Credit at Gresham Partners. His expertise extends to client management across the government and private sectors.

With a First Class degree in Law and Criminology and Chartered Financial Analyst experience since 2002, Nick is known for his energetic and creative approach, quickly appraising business models and identifying market opportunities.

Beyond his role at NotCentralised, Nick actively contributes to multiple startups and SMEs, holding various Board and advisory positions and applying his institutional expertise to early-stage ventures. Nick is fascinated by emerging technologies with significant societal impact and loves to immerse himself in nature.

Arturo
Rodriguez

Arturo leads product development and software engineering, applying over two decades of experience in technology, capital markets, and data science. With his years of programming expertise, Arturo smoothly transitioned into blockchain, AI, and machine learning.

Arturo has built and sold technology startups across Europe, following quant derivatives roles in global investment banks. His prior experience includes data projects for the NHS in the UK, Strategic Technology Advisor at Land Insight, and Senior Advisor to OpenInsight, where he built predictive models for vessel usage in commodity markets.

A mathematics and statistics graduate from Stockholm University, Arturo’s early grounding in logic problems and data manipulation techniques is evident in his practical applications. His work building equity derivative pricing models for Merrill Lynch and Royal Bank of Scotland showcased Arturo’s highly specialised skillset.

Arturo relocated from London to Australia in 2020. Beyond NotCentralised, his passion for technology and industry involvement extends to the Australian DeFi Association, which he co-founded, and regular contributions to the Data Science and AI Association.