Overcoming AI’s Nagging Trust And Ethics Issues; Forbes, December 28, 2024

Joe McKendrick, Forbes ; Overcoming AI’s Nagging Trust And Ethics Issues

"Trust and ethics in AI is what is making business leaders nervous. For example, at least 72% of executives responding to a recent surveyfrom the IBM Institute for Business Value say they “are willing to forgo generative AI benefits due to ethical concerns.” In addition, more than half (56%) indicate they are delaying major investments in generative AI until there is clarity on AI standards and regulations...

"Today, guardrails are a growing area of practice for the AI community given the stochastic nature of these models,” said Ross. “Guardrails can be employed for virtually any area of decisioning, from examining bias to preventing the leakage of sensitive data."...

The situation is not likely to change soon, Jeremy Rambarran, professor at Touro University Graduate School, pointed out. “Although the output that's being generated may be unique, depending on how the output is being presented, there's always a chance that part of the results may not be entirely accurate. This will eventually change down the road as algorithms are enhanced and could eventually be updated in an automated manner.”...

How can AI be best directed to be ethical and trustworthy? Compliance requirements, of course, will be a major driver of AI trust in the future, said Rambarran. “We need to ensure that AI-driven processes comply with ethical guidelines, legal regulations, and industry standards. Humans should be aware of the ethical implications of AI decisions and be ready to intervene when ethical concerns arise.”

Why Business Leaders Need to Understand Their Algorithms; Harvard Business Review, November 19, 2019

Mike Walsh, Harvard Business Review; Why Business Leaders Need to Understand Their Algorithms

"Leaders will be challenged by shareholders, customers, and regulators on what they optimize for. There will be lawsuits that require you to reveal the human decisions behind the design of your AI systems, what ethical and social concerns you took into account, the origins and methods by which you procured your training data, and how well you monitored the results of those systems for traces of bias or discrimination. Document your decisions carefully and make sure you understand, or at the very least trust, the algorithmic processes at the heart of your business.

Simply arguing that your AI platform was a black box that no one understood is unlikely to be a successful legal defense in the 21st century. It will be about as convincing as “the algorithm made me do it.”"

Will open data survive Trump?; InfoWorld, 1/16/17

Eric Knorr, InfoWorld; 

Will open data survive Trump?

"The incredible quantity of data collected across the federal government is a national treasure. Few other countries on earth apply the same energy, funding, and rigor to assembling such extensive stores. Even if ordinary citizens don't go to Data.gov for entertainment, both policymakers and business leaders need objective data to make sound decisions.

Before joining the Sunlight Foundation, Howard worked at O’Reilly Media, starting there a few years after Tim O’Reilly convened a group of open government advocates to develop the eight principles of open government data in 2007. Howard says the idea of open data really goes back to the Constitution, which stipulates an "Enumeration" (aka, census) be held to apportion Congressional seats -- an indication that "open data is in the DNA of the USA." Even further, open data harkens to the original Enlightenment idea that reason based on fact should govern human action.

We'll see how that quaint notion survives the postfact era. Meanwhile, consider contributing to the Sunlight Foundation and the Electronic Frontier Foundation."