Unlocking the Future: Turning AI Fear into Fuel for Innovation

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It’s time for us to have an essential conversation about Artificial Intelligence (AI), particularly generative AI. In an age marked by rapid technological progress, there’s a pressing need to move beyond a restrictive, overly cautious viewpoint towards an informed understanding and adoption of AI technologies.

In our previous thought leadership piece, “AI is the New Black — Demystifying the Buzz Around ‘AI-driven’,” we delved into the fundamental principles of AI. This time, we want to address some concerns that often crop up when discussing the practical application of AI.

Navigating IP Risks in the Digital Age

Privacy concerns are paramount in this interconnected era. However, it’s important to dispel the notion that confidentiality is automatically at risk with AI tools. Generative AI models such as GPT follow robust privacy protocols, and in the hands of experts, can be fine-tuned to maximise data security. A deeper understanding of privacy mode functions, as shared in a recent Twitter thread (see below), can provide invaluable insights into how we can retain privacy while harnessing the power of AI.

Data Risks and the Importance of Verification

Any system, AI or otherwise, is susceptible to inaccuracies in source data. However, painting AI as the sole scapegoat oversimplifies the issue. Robust data verification, transparency, and meticulous testing are key to addressing this risk, irrespective of the system’s AI capabilities. Users must also exercise due diligence in checking the AI outputs, an action that is feasible, especially for those proficient in their domain. Moreover, emerging models now provide the source of information, lending credibility and reliability to AI outputs.

AI as an Augmentation, Not Replacement

AI’s strength lies in its ability to synthesise complex data into understandable output. However, it’s not a substitute for human judgment but a tool for enhancing it. AI, when used correctly, empowers us by providing every staff member with a sophisticated assistant, aiding in productivity and decision-making, without disconnecting human involvement. If implemented correctly, AI models like GPT can even guide us in prioritising tasks, further streamlining our workflow.

Social Risks and Ethical AI Usage

The potential of AI, across a variety of sectors like healthcare, education, finance and others, is vast. Still, we must remember that AI should aid, not replace, professional judgment. Strict testing protocols, ethical guidelines, and regulations can mitigate the risks involved, ensuring responsible AI usage.

Generative AI and Innovation

A decision to ban public AI tools outright should be a carefully considered one (even though we’ve seen it in universities, schools and some workplaces). Balancing an organisation’s risk tolerance against its growth aspirations and capacity to navigate challenges. Overly cautious attitudes risk stifling innovation. The distinction between machine learning and generative AI is valid, but the advantages of generative AI, including its creativity and problem-solving capabilities, shouldn’t be downplayed.

Many corporates across various industries and government departments are already exploring generative AI use cases. These organisations are paving the way for innovation, recognising the necessity to partner with experts in the field to ensure the safe, effective implementation of AI technologies.

The world is gradually awakening to the vast potential of AI, a transformation we’ve witnessed as members of the NSW Government Taskforce on Data, Digital, and AI. It’s essential not to let apprehensions overshadow the opportunities for growth and progress. With a nuanced understanding of AI, combined with comprehensive safeguards, we can confidently embrace this new frontier without jeopardising security or accuracy.

So, let’s take a step towards innovation and growth, and not let fear impede our path. We must remember that every technological advancement has come with its fair share of challenges, but it’s through overcoming these challenges that we’ve made progress.

At NotCentralised are committed to navigating this promising pathway alongside organisations willing to venture into the world of AI. Leveraging our expertise, we aim to foster a better understanding of these technologies, debunking misconceptions and providing tailored solutions that strike the right balance between risk mitigation and innovation.

Dismantling the Fear

There is a degree of apprehension around AI, driven in part by a lack of understanding, and in part by its depiction in popular culture. However, as we have previously explored in our piece, “AI is the New Black — Demystifying the Buzz Around ‘AI-driven’,” AI technologies are tools — powerful, yes, but ultimately under our control. They are as safe, ethical, and reliable as we design them to be.

The Road Ahead for Organisations

Recommendations for organisations to tread cautiously are not without merit. However, completely avoiding generative AI could result in missed opportunities to harness its benefits. By establishing robust guidelines, rigorous validation protocols, and continuous monitoring measures, businesses can safely navigate the AI landscape without stifling innovation.

In fact, organisations can leverage AI to improve operational efficiency, drive better business outcomes, and facilitate advancements across different industries. The key lies in using AI in a controlled, ethical, and consumer-centric manner, striking a balance between automation and human oversight.

AI as an Ally

From legal and accounting to healthcare, numerous industries are realising the transformative potential of generative AI. We at NotCentralised are proud to partner with leading organisations and government departments in their journey of exploring and adopting AI technologies. It’s a testament to the recognition that innovation and security can, indeed, go hand-in-hand.

Stepping into the Future

In conclusion, while recognising potential risks is important, we must balance this with the understanding that the rewards of AI adoption can be substantial. Let’s not let fear limit our ability to harness AI’s transformative potential. Instead, let’s adopt a nuanced, informed approach that allows us to capitalise on this technology without compromising on security or accuracy.

At NotCentralised, we’re committed to helping businesses navigate the path towards AI adoption. Our team of experts is here to guide you, ensuring you’re well-equipped to make the most of these advanced technologies. We are in the era of AI, an era filled with promise and potential. So let’s embrace it, innovate, and grow, together.

Feel free to get in touch with us at we@notcentralised.com

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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 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 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.