Penny Wong

Penny Wong

Short Bio
Emerging Technology Evangelist

With the vision of a futurist, experience of a technologist, mindset of an entrepreneur & heart of a humanist, Penny is a management consultant, & co-founder of Radmis. Helping enterprise & government clients leverage emerging technologies to realise opportunities & efficiency/cost gains, drive innovation, security, manage risk & regulatory compliance. #MovingHumansUpTheValueChain #JustAskPenny

Penny’s personal lifetime mission is to utilise AI to transform the AgedCare sector. She advocates digital transformation towards the future of DLT & AI focused on technology for good, in connecting people & helping to create profound & positive impacts to society. Penny volunteers in support of STEM education & human diversity in AI development, and a mentor at TechReadyWomen.

With over 15 years professional experience designing & delivering over 50 enterprise application projects, from solution architecting, product commercialisation, to leading digital transformation project turnaround (rescue/salvage), & also as a payments consultant (since 2007) advocating P2P mobile payments, DLT, value transfer & the future of money. Penny studied computer science & holds a Grad Cert of Innovation & Entrepreneurship, & Master of International Business & Law from the University of Sydney.


I love this question. We have an exciting path ahead as we help shape the future of benevolent AI as a community. However, there’s a lot that needs to be done as we transition towards that vision. I believe it’s important to bring the right types of people into our community with shared visions and values. We need to continue building out our community and spread the message, achieve global strength and form the right partnerships to scale exponentially. For example, I would propose to the community to host meetups around the world united through the SingularityNET brand. These could take place within universities and other places/forums we trust to speak freely for a meeting of the minds, and take the mission to the next level, educate, collaborate and bring more people on the journey through diversity and inclusion, ensure we continue the dialogue focusing on issues that matter and value creation. Let’s set the example for our future benevolent AI and push the boundaries of abundance thinking, activate new communities, help prioritise our resources to focus on impactful real world problem solving then our future benevolent AI can start to help us incrementally over time as it (gender neutral of course) evolves.

I do not have an interest in trading tokens, my interest is in its utility, to connect AI’s and co-ordinate solving real world problems. I have dreamt of creating AI since I was a child (dreaming of one day interacting with a hybrid between Data from StarTrek and Kitt from Knight Rider). It is my lifetime mission to take AI and transform the AgedCare sector, and currently for a living am focused on building digital assistants so humans can talk to their systems. I plan to continue to push the boundaries towards achieving AGI into the future. So much so, that I am even exploring how to live to age 150, to envisage a time in the future when I will be both disturbed and happy when my digital assistant turns around to me and says… “Penny, I know, I’ve got this … stop telling me what to do”…

I do believe tokens should be utilised to generate activity within the ecosystem (not traded like stocks) and encourage exploring new ways/models that discourage trading and encourage/incentivise token utility.

For many years I have been conflicted across 2 distinct worlds: AI and DLT. These technologies are traditionally by their individual nature on complete opposite sides of the technology spectrum. On one hand, AI is about centralised intelligence on closed data platforms, vs. blockchain’s open applications of decentralised data. Blockchain creates a new way to manage data, enabling a more coherent and explainable AI. Conversely, AI can make blockchains more efficient. It’s clear that the powerful marriage of the 2 technologies will enable exponential impact. AI connected to other AI’s will expedite up our evolution towards the Singularity. However, its paramount that we shape its development in the best interest for human progression. So, in my view, when I first heard about singularityNet in 2007, I thought that Ben and Simone’s combined vision for benevolent AI on the blockchain was just an ingenious project. After meeting each founder to learn more about their values and intentions, I completely aligned to the mission and have supported and recommended since.

Being a technology product solution architect at heart, I’m always looking for innovative and novel ways to design and create value propositions for product and services that customers would want to use, willing to pay for and refer new clients to. I bring to the table my experience in working with enterprise organisations to design and deliver enterprise grade applications that are scalable, modular, robust and secure and will seek ways I can offer the SingularityNet protocol as part of a solution design. I have been working amongst developer communities and will help promote the technology where relevant.

I believe that we are embarking on a transformation, the first stop is to reach AGI, then ASI. In my opinion… we have a fundamental issue and hurdle to get over… how do we create AGI when we are still learning about our very own existence… humanity. What is our purpose? Various predictions range between 2035 and 2060. I believe it will start within that timeframe… we have a long way to go… I am also exploring regenerative technologies for longevity to live to 150 in an attempt to contribute to a positive transition towards the singularity and connect like minded change-makers on the journey.

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Traditionally, governments issue currency as a medium for exchange of value to drive its economy. Tokens create a unit of value enabling new self-governing business models to empower users to interact with products/services offered within the ecosystem in a way that benefits all stakeholders. By this definition, it is key to ensure a sound tokenenomics design incorporating game theory that clearly links usage to value, aligned to achieve the organisation’s vision towards a DAO. I would prefer to brainstorm my ideas in collaboration with the ecosystem to harvest and consider the various perspectives that will help inform a co-design to mitigate risk of oligopolistic behaviours.

Thanks for your question. Like many, I have more questions than answers,however, welcome and enjoy discussing these philosophical debates in various forums that bring together a diversity of mindsets and expertise.

In most cases I’m of the opinion that we need more transparency to enable greater trust in algorithms. I imagine to one day be able to ask systems/AI what it did and why… I would expect it to answer truthfully, just knowing this will give me greater trust in that particular system/AI. However, many may question, will it act in the best interest for me, or the greater good…? e.g., The old trolley question come to light…. the autonomous car, the grannie, the baby and the insurance company scenarios …

I believe organisations that build or leverage AI should define the values in which they stand by, it should be ingrained across the organisation’s culture and enforced.

I’d consult the community to understand firstly what are the issues that is of most concern and seek out ways to address these.

I’d consult the community to understand firstly what are the issues that is of most concern and seek out ways to address these.

To be honest, I believe that its important to engage a variety of mindsets and expertise. I have found in my own experience building human <> machine interactions e.g., digital assistants… that I have had to level up on other non-technical skills (and continue do so). As an example, I am learning fast to be a comedy scriptwriter (for error handling), philosopher (to understand what humans want), psychologist (positively influence human behaviour) etc.

I have experience in supporting channel partner programs at enterprise level and can contribute in developing programs to engage more developers as well as other expertise we need to develop AI.

What can we learn from examples of oligopolies today… control, collusion and anti-competitive behaviours seen amongst most industries… Airlines, Oil&Gas, Mass Media/News, Entertainment Music/Film industry, Tech powerhouses, OS - i.e., Apple vs. Windows / iOS vs. Android, Automotive Manufacturing, Telco providers, all contributed to the establishment and evolution of anti-trust laws that help promote competition and protect consumers. I would seek ways we can incorporate learnings from these cases and incorporate the checks and balances into the system to reduce these risks of bad behaviour. Great 1st topic of discussion for council members …

When I started exploring token-economics in the early ICO days, I continually sought creative token design concepts that apply game theory (i.e., players, strategy and payoff), behavioural economics that support free markets. I learnt the importance of designing enticing reward systems to promote good behaviours and punishment systems to mitigate risk of bad behaviours (as seen in oligopolistic issues highlighted in anti-trust cases).