Home Data-Driven Thinking Can Transparent Technology Evolve Faster Than Tech Used For Ill-Gotten Gains?

Can Transparent Technology Evolve Faster Than Tech Used For Ill-Gotten Gains?

SHARE:

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Jerry Jones, chief ethics and legal officer and executive vice president at Acxiom.

When it comes to safeguarding our democracy, much has already been said about the need for more transparency and accountability governing how data can and should be used on digital platforms.

With the knowledge that foreign agents used open platforms to influence the 2016 election – and that we must be vigilant to avoid further interference this year – effective methods to combat such actions are top of mind for business, industry, consumers and government officials alike.

As the specifics are better understood, one thing becomes increasingly evident: To achieve this, the technology of transparency and accountability needs to evolve faster than the technology used for corruption and manipulation.

Consider the source

In normal “offline” human discourse, we usually know the person with whom we are speaking and can adequately judge the credibility of the information exchanged. Similarly, when we read a newspaper or magazine, we know the identity of the author, publisher and even advertisers that support the publication, all which provide context for gauging the veracity and perspective of the content.

Similarly, to assess the integrity of information in the digital space, knowing the source is crucial. But ascertaining the source of online information can be difficult, and in many cases the capabilities of the technology have outpaced advancements in the laws regulating online activity.

In the case of the US elections, the Federal Elections Commission (FEC) has neither the tools nor the resources to step in to effectively counter bad political actors. Political speech is currently regulated based on attribution of the source of funds. The FEC can easily monitor and police the flow of money in traditional print advertising, radio and television spend.

However, in the digital realm it is much easier to obscure the source of the speech and spend, and it becomes difficult to know where this information originates geographically and organizationally.

Lessons learned

So, how can we forge a path forward? First, we can look to the past.

A couple of years ago, the marketing industry began to face the growing popularity of ad blocking and its threat to the traditional advertising model. In response, key industry associations, including the IAB and DMA, immediately developed codes of conduct and new advertising principles to improve advertising standards and promote consumer choice.

In our current situation, today’s platforms must work together to improve transparency into political advertising and funding and assume accountability for preventing harms. By building ethical guidelines into the design of their technological systems and processes they can not only more effectively vet the intent and origination of the users and advertisers that come to their platform, but they can equally empower consumers to make data-driven decisions about the source of the information they consume there.

Considering the global nature of today’s leading online platforms, embracing data ethics by design can help guide and ensure the continued success of these digital companies. By defining and adhering to core values that promote the ethical use of data, companies can self-regulate and gain the trust of the people they serve. With greater clarity and transparency to the sources of information, this goal is attainable.

Act or be acted upon

It was foreseeable that bad actors who wanted to influence our electoral process would be able to do so using today’s technology platforms, including news websites and other publishing platforms that provide a setting where groups of like-minded individuals can converge. Acknowledging what occurred after the fact, however, has limited value. It is equally foreseeable that the federal government will attempt to regulate data to prevent future corruption or technological misuse, and if so, we should support appropriate regulation.

The leaders of digital platforms have far more power and authority over their technology than governments do and should act aggressively to clearly define methods of bringing transparency and accountability into the platforms we use for everyday communication to prevent nefarious misuse.

Follow (@Acxiom) and AdExchanger (@adexchanger) on Twitter.

Must Read

AdExchanger Senior Editors Anthony Vargas and Alyssa Boyle.

POSSIBLE 2026: AdExchanger's Hot Takes

AdExchanger Senior Editors Alyssa Boyle and Anthony Vargas share their takeaways from three days chatting about agentic AI at POSSIBLE.

Reddit Reports A 75% Boost In Q1 Ad Revenue As It Reaches For 100 Million Daily US Users

Generative AI search has pushed traffic off a cliff across most of the internet, but not on social platforms. Reddit included.

POSSIBLE 2026: Can AI Help Agencies Finally Break Down Those Silos?

Domenic Venuto, indie agency Horizon Media’s chief product and data officer, sat down with AdExchanger during POSSIBLE at the Fontainebleau in Miami to unpack the role of AI in today’s media and advertising landscape.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Google Touts Its AI Ad Tech Adoption And New AI Max Features

Google announced new features and ad types for AI Max, its AI-based bidding product for search and shopping or sponsored product ads. The company also touted “hundreds of thousands” of advertisers using AI Max.

Hand pressing blue AI button on keyboard. Digital collage of artificial intelligence interface.

Meta’s Ad Machine Is Purring, So Why Did Its Stock Drop?

Meta’s Q1 call sounded like an AI and hardware pitch, but under the hood it was still about one thing: investing in AI to squeeze more money out of its ads business.

Alphabet Exceeds $100 Billion In Q1 And Its Profits Almost Doubled

Alphabet earned $109.9 billion in Q1 this year, up from $90.2 billion a year ago. And that’s not even the truly gobsmacking number.