Digital Transformation in Governance: Rebuilding the State around People, Trust, and Public Value

by Alan S. Cajes, PhD

This monograph examines digital transformation in governance as a profound reconfiguration of public administration, not as a mere adoption of information and communication technologies. It argues that digital governance is best understood as a form of creative destruction within the State: it unsettles inherited bureaucratic practices such as paper-based authority, fragmented records, agency silos, opaque procedures, repetitive requirements, slow service chains, and passive citizenship, while creating new institutional capacities for integrated, data-driven, citizen-centered, inclusive, secure, sustainable, collaborative, and trust-based governance. In this sense, digital transformation is not simply the modernization of tools; it is the renewal of how government thinks, organizes, decides, serves, protects, learns, and earns legitimacy in a digital society.

The monograph develops a multidimensional framework for understanding digital-era governance across interconnected domains: data, innovation, platform governance, public value, citizen experience, cybersecurity, data governance, digital inclusion, environmental stewardship, collaboration, and public trust. It emphasizes that genuine transformation does not occur when old bureaucratic procedures are merely transferred to websites, portals, apps, or automated workflows. Transformation occurs when institutions simplify rules, redesign services around citizen journeys, govern data responsibly, protect privacy and rights, strengthen cybersecurity, coordinate across agencies, include vulnerable groups, build sustainable digital infrastructure, and measure success through public value rather than technology deployment alone. The central argument is that the future of governance belongs not to institutions that digitize old bureaucracy, but to those that use digital power to build a more responsive, humane, accountable, resilient, and trustworthy State.

Keywords: digital governance; digital transformation; GovTech; platform governance; citizen-centric services; data governance; cybersecurity; digital inclusion; environmental stewardship; public value; trust in government.

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Is artificial intelligence superior compared to humanity? Q&A with ChatGPT (an Artificial Intelligence)

by Alan S. Cajes, PhD

ASC: Who is Aldous Huxley?

Chat GPT: Aldous Huxley (1894-1963) was a British writer and intellectual, known for his contributions to literature, philosophy, and social commentary. He was born into a family of prominent intellectuals and writers, and was educated at Eton and Oxford.

Huxley is best known for his novel "Brave New World," which depicts a dystopian future in which society is highly controlled and stratified, with individuals being genetically engineered and conditioned to accept their place in society. The novel has become a classic of science fiction and a cautionary tale about the dangers of totalitarianism and the misuse of technology.

Huxley's other notable works include "The Doors of Perception," a non-fiction work in which he describes his experiences with the hallucinogenic drug mescaline, and "Island," a utopian novel that explores the possibilities of a more enlightened and harmonious society.

Throughout his career, Huxley was known for his wide-ranging intellectual interests and his willingness to challenge conventional thinking. He was a prolific writer and essayist, and his works continue to be studied and debated today.

ASC: He said "People will come to love their oppression, to adore the technologies that undo their capacities to think." Do you agree with this statement?

Chat GPT: As an AI language model, I don't have personal beliefs or opinions. However, I can provide an analysis of Aldous Huxley's statement.

Huxley's statement reflects his belief that in a society where individuals are conditioned to accept their place and are heavily reliant on technology, they may become complacent and accepting of their oppression. Huxley suggests that people may even come to love their oppression, perhaps because they are unaware of the extent to which they are being controlled, or because they believe that their way of life is the only possible one.

While it's difficult to say whether this statement is entirely true, there are certainly examples throughout history where people have accepted oppressive regimes and technologies that limit their ability to think critically or act freely. For example, in some totalitarian societies, people may have been conditioned to believe that the government's actions are always right, even if they go against their own interests or values.

However, it's also important to note that throughout history, there have been individuals and groups who have resisted oppression and fought for their freedom and autonomy, even in the face of seemingly insurmountable odds. Therefore, while Huxley's statement may be a cautionary warning about the dangers of complacency and the misuse of technology, it's also important to recognize the capacity for human agency and resistance in the face of oppression.

ASC: Is artificial intelligence superior compared to humanity?

ChatGPT: As an AI language model, I cannot make subjective or normative judgments about the superiority or inferiority of artificial intelligence compared to humanity. However, I can provide some information that might help to frame the discussion.

Artificial intelligence (AI) is a technology that is designed to perform tasks that typically require human intelligence, such as learning, problem-solving, perception, and decision-making. AI can be incredibly powerful and efficient in performing specific tasks, particularly those that involve large amounts of data or complex calculations. However, AI lacks certain qualities that are considered to be distinctly human, such as creativity, emotional intelligence, and the ability to reason abstractly.

Some people argue that AI has the potential to be superior to humans in certain respects, such as processing speed, accuracy, and consistency. However, others argue that AI should not be seen as a replacement for human intelligence, but rather as a tool that can be used to augment and enhance human abilities.

It's also worth noting that the development of AI raises important ethical and philosophical questions about the relationship between humans and technology, the limits of human knowledge, and the nature of consciousness and intelligence. These questions are still being debated by scientists, philosophers, and policymakers around the world.

ASC: What ethics do you subscribe to?

ChatGPT: As an AI language model, I do not subscribe to any particular set of ethics or moral values. I am a tool designed to provide information and answer questions to the best of my ability based on the data and algorithms used to create me. I do not have personal beliefs, opinions, or values, nor do I have the ability to make decisions or take actions outside of the parameters of my programming.

However, the creators and developers of AI systems have a responsibility to ensure that their systems are designed and used in an ethical and responsible manner. This includes considerations of fairness, accountability, transparency, and privacy, among other things. There is ongoing debate and discussion about the ethical implications of AI, and many organizations and individuals are working to develop ethical frameworks and guidelines for the development and use of AI systems.

ASC: So AI can be bad if the creators choose to be unethical?

ChatGPT: AI systems are tools that can be used for both positive and negative purposes, depending on how they are designed and used. While AI systems themselves are not inherently good or bad, the actions of their creators and users can have ethical implications.

If the creators of AI systems choose to be unethical, they could develop systems that are biased, discriminatory, or harmful to individuals or society as a whole. For example, if an AI system is trained on biased data or is programmed with discriminatory algorithms, it could perpetuate or even amplify existing biases and inequalities in society.

Therefore, it's important for creators and users of AI systems to take ethical considerations into account throughout the development and deployment process. This includes considering issues such as privacy, security, transparency, fairness, and accountability, among other things.

Many organizations and individuals are working to develop ethical frameworks and guidelines for the development and use of AI systems, and there are also efforts underway to establish regulations and standards for the responsible use of AI. Ultimately, it will be up to society as a whole to determine how AI should be developed and used in a way that maximizes its benefits while minimizing its risks and negative consequences.

ASC: Thanks for you time

ChatGPT: You're welcome! If you have any more questions, feel free to ask.

Dr. Alan Cajes: Portrait of a Filipino as a Data Scientist

This article  is published on 1 January 2021 at <https://pcieerd.dost.gov.ph/news/latest-news/412-dr-alan-cajes-portrait-of-a-filipino-as-a-data-scientist>

With love and devotion for his country and its citizenry, this Filipino expert finds what Leonardo da Vinci called “the joy of understanding” in a bulk of data.

Born in the banana capital of the Philippines, Davao del Norte is the hometown of this prolific and versatile Vice President and Senior Executive Fellow of Development Academy of the Philippines (DAP) and Project Leader of the Smarter Philippines through Data Analytics R&D, Training and Adoption or SPARTA, Dr. Alan Cajes.

For Cajes, being a data scientist was more of necessity as his job requires him to deep dive into the huge volumes of data including Framework Formulation and Study of Spatial Development, Forecast-Based Emergency Preparedness, and Vulnerability and Adaptation Assessment, which according to him use some degree of data science.

“This happens when we collect data the best way we can and allow such, using an acceptable method, to reveal to us new information that leads to new insights, and then new knowledge that can be used to improve the way we do things in the public, business, and civil society sector,” he shared.

In an email correspondence, Cajes revealed that his typical workday as a data scientist often involves reviewing literature and previous projects; discussing and framing questions with colleagues and project team members; designing, pre-testing, and enhancing the data collection instruments; printing the final version of these instruments and training the enumerators on how to administer such; as well as data cleaning that includes detecting, removing or correcting errors. Next is tabulating, interpreting, analyzing, and presenting the data, putting together the findings, reflecting on the recommendations, writing, and presenting the report. Then, celebrate success in project task achievement that contributed something new to the body of knowledge, and hopefully helps, no matter how little, to improve the Philippine society.

He virtuously described Filipino data scientists as keen observers, able to swim in an ocean of data, and find timely as well as reliable patterns among them. He continued, “they are artists who are creative in presenting their discoveries so that the intended users will appreciate and make informed decisions, be it in the form of policies, products or services that create public and customer value.”

“Filipinos can benefit from data science through employment opportunities for our data scientists and harnessing their expertise in solving socio-economic problems at the national and local levels, as well as creating public and customer value through new products, improved services, and evidence-based policies,” he said.

Recognizing the high demand for data scientists, he urged all Filipinos to seize this exceptional opportunity to become SPARTA scholars and live out the core values of Dangal (honor and integrity), Galing (smart and innovative), and Tatag (stable and future ready).

“But more than turning raw data into valuable insights,” Cajes says “data scientists are expected to have the skill set (e.g., data mining, data visualization, among others), mind set (e.g., curiosity and synoptic thinking) to provide meaningful and useful insights to decision makers and executives, and a patriotic calling of using data science to solve some of the challenges that we are facing such as infectious diseases, limited access to potable water, poverty, climate-related disasters, corruption, inefficiencies in the delivery of services, and many more.”

Recalling these traits that a data scientist must possess, he was reminded of an experience he had long ago with some of his trailblazing projects that the DAP conceived, designed, and implemented in the 70s including the Social Indicators Project (1974-75) that gave birth to the idea of the Social Weather Stations (SWS), and the Population, Resources, Environment, and the Philippine Future (PREPF), a forward-looking project in 1975-77 that explored historical trends in Philippine society and their implications for the future – 2000 A.D.

“Our pioneer data scientists showed us that there is an alternative way of probing the future – evidence-based analysis,” he explained. “That is why in 2016, the Department of Environment and Natural Resources (DENR) tapped the DAP to design and implement a project like the PREFP. This is a Framework Formulation and Study of Spatial Development under the new normal with the idea to explore data and analyze their implications on safer settlements in the future.”

The life of a data scientist is quite like a roller coaster ride and even the Analytics Association of the Philippines (AAP) and Coursebank recognized that one must face the challenges in exponential growth of data and the limited number of data literate workforce.

"The estimate this year is that every person generates about 1.7 megabytes of data per second. This trend will increase with the emergence of smart city initiatives nationwide. If we don’t have the appropriate infrastructure support, big data warehousing and data mining won’t be easy," Cajes remarked. "APEC estimates 340,880 data science and data analytics workers will be needed in the Philippines by 2022. So, we have a huge demand compared to the supply, which is likely less than 20% of the demand."

He supported the claim of the Philippine Institute of Development Studies (PIDS) about scarcity of DSA competencies in the current workforce and a misalignment between the demand and supply of DSA professionals in the country. Specifically, it revealed that the 10 DSA-related programs in the Philippines produced 176,597 graduates but only 38% or 62,583 workers were considered fit for the DSA field. Also, the International Labor Organization concluded that there is a risk posed by automation on about 49% of the workforce in the BPO industry.

This Filipino data scientist holds the notion that the country can become one of the “high potential” and then “leading” nation with the right policies and investments in appropriate infrastructure despite the World Economic Forum declaration that the Philippines fall under the “legacy” archetype in relation to Industry 4.0. Bold, albeit cautiously optimistic, he uttered that it is possible to become one of the global leaders in data science.

"Although we are about two years behind Singapore, Malaysia, Indonesia, and Thailand in preparing for data science, the Department of Science and Technology (DOST) remains steadfast in providing the required support. We have a good number of schools that offer degree programs in statistics compared to other Southeast Asian countries. We have a younger generation that we can train on data science and be mentored by experienced data science academics and practitioners," Cajes expressed.

Supported by the DOST, through the Philippine Council for Industry, Energy and Emerging Technology Research and Development (PCIEERD), and led by the Development Academy of the Philippines (DAP), the Project SPARTA seeks to produce 30,000 data scientists through a massive online training program in data science, analytics and its related fields. It creates necessary online education, R&D mechanisms and infrastructure enabling data science and analytics to strengthen smart governance practices.

“We encourage them,” he says referring to the SPARTA scholars “to learn as much as they can on their own (through e-learning modules), and with their fellow scholars (through hackathons). They are the new breed of knowledge workers who can handle big data and provide useful ideas for new products, services, or policies to continually improve Philippine society.”

With experiential knowledge coupled with great fervor and incessant desire to solve complex problems, Dr. Alan Cajes becomes particularly adept at finding trends and obtaining insights from meaningful data.

“We look forward to the day when our SPARTA scholars become valued assets in their respective organizations, as well as coaches and mentors to a new generation of knowledge workers,” he says.

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Dr. Cajes is vice president and senior executive fellow of the Development Academy of the Philippines. He is project lead of the DOST-funded SPARTA Project. This article  is published on 1 January 2021 at <https://pcieerd.dost.gov.ph/news/latest-news/412-dr-alan-cajes-portrait-of-a-filipino-as-a-data-scientist>