Kisch, do the math: You can't subtract responsibility

When Responsibility Becomes a Math Problem

I've watched the media landscape transform in real time, and what strikes me most is how often we see leaders—especially those at the helm of powerful institutions—attempt to solve moral and ethical dilemmas with mathematical logic. It's not that numbers are inherently wrong, but when you reduce human responsibility to a formula, you're effectively erasing accountability.

"You can't subtract responsibility," I heard someone say recently in a discussion about corporate failures. The words were simple, but the truth behind them is anything but.

This isn't just about abstract theory. It's about real people—those who lose their jobs, those whose lives are upended by decisions made behind closed doors, and those who suffer the consequences of policies crafted by individuals who have chosen to delegate responsibility rather than own it.

The Case of Kisch and Corporate Accountability

I've been tracking developments in the corporate world, particularly focusing on how decision-makers attempt to outsource moral judgment. The case of Kisch—a high-profile figure in financial services—serves as a compelling illustration of this troubling pattern. When a company fails, and leadership tries to distance itself by citing flawed systems or faulty algorithms, it's not just disingenuous—it's dangerous.

There's a long-standing belief that we live in an age where technology can be the great equalizer, where data-driven decisions replace human judgment. But this is a false narrative. The machines don't make choices; people do. And when those people fail to act responsibly, the burden of consequences falls squarely on their shoulders.

The Dangerous Illusion of Impartiality

What's especially alarming is how the illusion of impartiality has become weaponized. We're seeing leaders claim they're not responsible because their decisions were based on metrics or models. But if a model is flawed, or if it was designed to serve certain interests over others, then that is a conscious choice—one that demands accountability.

Let's take the example of predictive analytics in hiring. If an algorithm systematically excludes candidates from certain demographics, that isn't just a technical glitch; it's a reflection of bias embedded by those who created it. And when those creators shrug their shoulders and say, “the system did it,” they are dodging responsibility.

The Burden on the Unaccountable

When leaders absolve themselves of responsibility, it leaves the vulnerable to bear the brunt. Consider the employees who lost jobs due to algorithmic decisions, or the communities impacted by policies that were supposedly data-driven but in reality reflected the narrow interests of a few.

We must ask: what happens when these systems fail? And more importantly, who takes responsibility for those failures?

Reclaiming Accountability

The real test isn't whether a system works well—it's how people respond when it doesn't. When we strip away the veneer of objectivity and look at the actual humans behind the data, we must ask: did they act with integrity? Did they exercise due diligence? And perhaps most importantly, were they willing to accept consequences if their decisions proved harmful?

That's what accountability means. Not just following rules or using the right tools, but owning up to outcomes—even when those outcomes are painful.

Why This Matters Now More Than Ever

In our age of rapid technological advancement and corporate consolidation, we're witnessing a growing disconnect between leadership and responsibility. There's an urgent need for leaders—especially those in positions of power—to be held accountable for their decisions, no matter how complex the systems they operate within may be.

We can't allow data or algorithms to become shields against ethical obligations. The moment we start believing that technology can absolve us of responsibility is the moment we lose sight of what makes us human: our ability to make choices, and to own them.

What Must Change

The onus isn't just on individuals—it's on institutions. Boards, regulatory bodies, and civil society must demand transparency. We need to ask hard questions about how decisions are made, and who is ultimately responsible for the outcomes. Only then can we hope to restore trust in leadership.

It's time for leaders to stop treating responsibility like a mathematical variable they can subtract from their obligations. If we allow this trend to continue, we risk creating a world where no one is truly accountable, and everyone suffers the consequences.