- Challenges Going forward

Challenges Going forward

For a machine to interact with us, it may need to shape our emotions and beliefs. Machines have to “persuade” us, so that they can achieve their intended goal. I would not fully accept my robot vacuum cleaner if it did not explain its behavior to some degree. The vacuum cleaner creates a shared meaning of, for example, an “accident” (like getting stuck on the bathroom carpet ... again) by explaining that it got stuck instead of simply stopping to work without comment.

Christoph Molnar, Interpretable Machine Learning


Risks and ethics associated with artificial intelligent systems remain a rapidly developing issue. Today's AI systems are vulnerable to data-driven biases and errors, and often fail to provide sufficient explanations to human users who may find them unfair and difficult to trust. While useful, the artificial intelligence industry continues to wrestle with challenges surrounding algorithmic bias, ethical dilemmas, and blackbox models. Below are some of the materials that will help one to navigate the current landscape of artificial intelligence with a healthy dose of skepticism.

Explainable artificial intelligence

Artificial Intelligence Colloquium: Explainable AI
"Dramatic success in machine learning (ML) has led to a new wave of artificial intelligence applications (e.g., transportation, security, medicine, finance, and defense) that offer tremendous benefits. However, current ML cannot explain its decisions and actions to human users."


We read the paper that forced Timnit Gebru out of Google. Here’s what it says.
"The company's star ethics researcher highlighted the risks of large language models, which are key to Google's business."

Algorithmic bias

I Designed Algorithms at Facebook. Here’s How to Regulate Them.
"Washington was entranced Tuesday by the revelations from Frances Haugen, the Facebook product manager-turned-whistle-blower. But time and again, the public has seen high-profile congressional hearings into the company followed by inaction. For those of us who work at the intersection of technology and policy, there’s little cause for optimism that Washington will turn this latest outrage into legislative action."