Bring On the Data Auditors

Data science in society is underdeveloped. We need checks, balances, and accountabily for data & statistics.

We need data standards. We need rules and procedures. We need transparent evaluation we can trust.

We need accountants.

Companies and governments are fighting over what data regulators can and should require to properly oversee industry. The question of whether government can compel data has large implications for: public safety, privacy, transparency, trade secrets, and consumer protection.

We are missing pieces of the eventual structure of a data-driven society. To find these pieces, we can look to structures that exist in other matters of public trust and even trust in arms-length transactions.

The history of accounting is thousands of years old. Modern accounting itself is more than 500 years old. Comparatively, data auditing in an era of big data is in its infancy, but through this model we can see where we must go.

Data Auditing Creates Jobs & Economic Value

As we live in an era when we fear the loss of jobs, a new industry that brings value to most areas of the economy is an opportunity that we can seize and shape.

We can build an industry built on the values of the data generation, to fit the needs of today. We can use the best of the structures of accounting, and we can innovate to create some algorithum and some human-centered systems. If we require that data auditors must rotate on regular cycles, we can maintain competition, maintain rigor, and create robust systems that benefit both the economy and all of its players.

Accountability Matters

The idea is simple. We create standard measures, we measure; we create reporting requirements, we report. Data auditors in this conception would be formally agnostic to everything anything other than accuracy, standards, and methods.

This system is also ineveitable.

We will pay the cost of accountability, or we will pay for the cost for the the lackthereof.