AI in Process Optimization: A New Paradigm for Safer and More Intuitive Systems

Artificial intelligence (AI) has been a game-changer in optimizing business processes, but its potential goes beyond mere efficiency. As we venture deeper into the AI landscape, the question arises: Can AI help us design safer and more intuitive systems? Let’s explore this overlooked aspect of AI in process optimization.

The human element in AI-driven systems
While AI excels at automating repetitive tasks and streamlining processes, its true potential lies in complementing human decision-making. The so-called “curse of knowledge” often leads experts to overlook gaps in systems and processes, (incorrectly) assuming that what’s obvious to them is equally apparent to others. AI, devoid of such biases, can identify these gaps and even suggest corrective measures. This leads to systems that are not just efficient but also user-friendly and much safer.

Example: The $900m quirk
Consider the peculiar rule mentioned in the payment error outlined in Matt Levine’s Bloomberg article, where a payment was kept by the recipient even if after a noticed arrived shortly after payment saying the transaction was a $900m error.

AI could flag such risky counterintuitive rules and suggest more logical alternatives, thereby enhancing system safety and intuitiveness. The failure of the UK’s NATS, the national air traffic control provider, caused widespread delays and cancellations of flights across the UK.

Ethical and security concerns in AI-driven optimization
AI’s capability to process vast amounts of data comes with ethical and security challenges. Data privacy laws like GDPR and CCPA necessitate stringent data protection measures. AI can be designed to be “ethically aware,” flagging potential data privacy issues before they become a problem. This proactive approach can make systems safer and more secure.

Real-World applications for safety and intuitiveness
While AI has been successfully employed in various sectors for process optimization, its role in enhancing safety and intuitiveness is less discussed. For instance, AI can be used in healthcare to identify potential drug interactions that human pharmacists might overlook, or in automotive design to predict and mitigate crash impacts more effectively.

AI’s role in process optimization is evolving, and its potential to make systems safer and more intuitive is untapped. By focusing on the human element, addressing ethical concerns, and exploring real-world applications for safety, we can unlock a new paradigm in AI-driven process optimization.

The first version of the article was written with a different LLM:)

The Future of AI and Web3: A Tale of Two Town Halls

The intersection of Artificial Intelligence (AI) and Web3 technologies is a burgeoning field that promises to redefine the way we interact with the digital world. “The convergences are quite large,” said Brian Roemmele, emphasizing the importance of the human element in AI. Two recent #AI town hall debates on the 24 August ‘Tokenizing Intelligence: The Synergy of AI and Web3’ and on ‘AI Crypto Solutions’31 August have provided a wealth of insights into this exciting frontier. This article delves into the key topics discussed, offering a comprehensive look at the future of AI and Web3.

The human context in AI
“The human experience is central to the development and application of AI,” said a participant in the recent town hall. Roemmele echoed this sentiment, stating, “We need to approach this from different dimensions because the convergences are quite large.” “AI is not just about algorithms; it’s about understanding human behavior,” he added.

The discussion extended to the ethical implications of AI, with another speaker adding, “Ethical considerations are not just an add-on; they are integral to AI development.” In the second town hall, Anand Iyer emphasized the importance of understanding the human context when developing AI algorithms. “We can’t just focus on the technology; we have to consider how it impacts people’s lives,” he said. This sentiment was echoed by other participants who stressed the need for AI to be more empathetic and understanding of human emotions and complexities.

Data ownership and intellectual property
Nick St. Pierre delved deep into the intricacies of data ownership, stating, ” Ownership in the digital realm is a complex issue that we’re just beginning to understand. The easy way to do it is if an artist’s name is specifically used in the creation of the image.” The recent town hall also touched on the need to protect people’s intellectual property. “We need to verify and protect people’s intellectual property and their cautiousness,” said one participant. The debate extended into the realm of data privacy, with experts calling for robust encryption methods to protect user data. “Data privacy is not just a technical issue; it’s a human rights issue,” emphasized another speaker. Anand Iyer also touched upon the ethical implications of data ownership. “Who owns the data, especially when it’s generated by AI? These are questions we need to answer,” he said. The panelists agreed that as AI continues to evolve, so too must the laws and regulations governing data ownership and intellectual property.

The future of work and commercial real estate
LDJ brought up the point that the future of work is not just about remote working but also about the kind of work we will be doing. “AI will take over repetitive tasks, but it will also create new kinds of jobs that we can’t even imagine right now. The office of the future is not a place you go; it’s a task you do,” he said. This underscores the need for adaptability and continuous learning in the workforce. “We’re going to have a future where we don’t need to sit at a desk anymore,” said a participant in the recent town hall. This sentiment echoes the broader industry perspective that remote work and decentralized offices could become the norm. “The traditional office space is becoming obsolete. We need to rethink our approach to workspaces,” added another expert. The discussion also touched on the role of AI in automating tasks, with one speaker stating, “AI will not replace humans; it will augment human capabilities.”

Ethical and regulatory concerns
“We need international standards and guidelines. AI is a global phenomenon, and its regulation should be too,” said Eugene Chung. The recent town hall also emphasized the need for ethical considerations. “Ethical AI is not just a catchphrase; it’s a necessity,” said a participant. The discussion further delved into the regulatory landscape, with one speaker stating, “Regulation should not stifle innovation but should ensure ethical practices.” St. Pierre raised concerns about the potential misuse of AI, stating, “We need to be vigilant about how AI is used, especially in critical areas like healthcare and national security.” The panelists concurred that ethical guidelines are essential but also pointed out that these guidelines need to be adaptable to keep pace with rapid technological advancements. “Ethics in AI is not a destination; it’s a journey,” concluded Chung.


Using AI to tackle financial crime in the cryptoasset world is a powerful tool, but it brings up important ethical questions. Market practitioners have to be cautious about privacy, as AI could potentially dig into customers’ financial lives without their knowledge or consent. Ensuring these systems are fair and don’t discriminate is vital too. And let’s not forget the balance between security and personal freedom; society shouldn’t undermine the very idea of privacy that cryptocurrencies were built on. Striking the right balance is a challenge worth addressing as we navigate this new digital frontier. As Michael Charles Borrelli of AI & Partners added, “We should see AI as a key tool to help us in preserving market integrity while bearing in mind its various characteristics that may result in negative outcomes.”

The role of community in web3
“What blockchain can be useful for is community,” said “In Web3, the community is the network,” he added. The sentiment was echoed in the recent town hall, where participants discussed the importance of trusted communities. “Community-driven projects are the backbone of the Web3 ecosystem,” said another participant. The discussion also touched on the role of governance in decentralized networks, with one speaker stating, “Decentralized governance will be the cornerstone of successful Web3 projects.” Roemmele highlighted the importance of community-driven governance in Web3 projects. “The community is not just an audience; they are stakeholders who should have a say in the project’s direction,” he said. This democratic approach to governance could serve as a model for other types of organizations and communities.

Technological advancements and challenges
“Just recently, we released a 70 billion parameter model,” said LDJ, highlighting the rapid advancements in AI. “The next frontier in AI is not just more data but better-quality data,” he noted. The most recent town hall also touched on the challenges of countering AI drone technology. “We need to be prepared for the challenges that come with rapid technological advancements,” warned an expert. The discussion also covered the limitations of current AI models, with one speaker stating, “Current models are data-hungry and computationally intensive; we need more efficient algorithms.” discussed the challenges of keeping up with technological advancements, stating, “The pace of innovation is so fast that even experts have a hard time keeping up.” He emphasized the need for continuous education and adaptability, especially for those working in the AI and Web3 spaces.

Closing remarks
“Great job to the new folks. Welcome to the space thanks to the regulars, everyone did so great. Audience, thank you for being very interesting,” Chung said, encapsulating the collaborative and insightful nature of the debates. As these technologies continue to evolve, the discussions around them are sure to become even more critical. Anand Iyer summed up the collective sentiment of both town halls: “We’re at the beginning of a new era, and the discussions we’re having today will shape the future of AI and Web3 for years to come. The conversations we’re having now will be the textbooks of the future,” The debates served not just as a platform for sharing insights but also as a call to action for everyone involved in these rapidly evolving fields.

Follow on LinkedIn