Three experts demystify AI’s myths, governance, and democracy.
Demystifying the world of Artificial Intelligence (AI) engages thinkers, creators, and innovators far and wide. There is no universal application or interpretation of AI’s potential. What intrigues you?
In the first block on Demystifing AI from the Leading with AI: Ignite and build your AI-driven ideas Lab, co-hosted by GIZ’s Global Leadership Academy and the International Training Centre of the ILO, participants attended a virtual panel featuring three unique AI perspectives from international speakers.
The result was thought-provoking.
8 myths and misconceptions about AI
Imagine starting your career in philosophy, would you have ever thought of becoming an AI expert? For Daniel Leufer, this is his reality. As a Europe Policy Analyst at Access Now in Brussels he dedicates his time debunking eight AI myths.
“A group of us that work with AI policy brainstormed a list of the most annoying things we hear about AI on a regular basis,” he shared. Although AI has the capacity of helping the greater good, it could also do harm. It’s vital to understand it well and bust some of these myths.
He further expanded upon two of these myths: AI has agency and AI can solve any problem. Media and headlines tend to glorify the successes and agency of AI. “Human agency is being masked,” he emphasized.
AI is also depicted as a one-stop solution for a multitude of issues, yet it is not all-encompassing. “Machine learning picks up patterns in data,” Daniel explained, “But it’s not good at predicting complex social phenomena, like criminality.”
AI governance: A feminist analysis from the Global South
The next pitch came from Nandini Chami, the Deputy Director at IT for Change in Bangalore. She brought a distinctly fresh and diverse perspective to the AI discussion, presenting a feminist-oriented argument from India.
Governance of the new emerging economic order is built on data, as a result it has become of utmost concern. Nandini explored a plethora of dimensions regarding governing AI.
“What would a feminist governance framework for AI look like?”
When addressing AI and human rights, she stressed the gender bias in data and algorithms. While discussing the automated public sphere, she noted the continued spread of sexist hate speech and disinformation. AI governance calls for an inclusive and conscious approach.
How do we democratize AI?
To wrap up the panel, the third speaker further stretched the range of disciplines involved. A data scientist and economic sociologist, Christian Resch offered another vision for how we could make AI more democratic through his work with FAIR Forward – Artificial Intelligence for All in Germany.
Increasing access to AI is at the heart of FAIR Forward’s mission. Christian explained how local development of machine learning applications could solve local problems in this global initiative. Their areas of action include strengthening local skills and capacity, improving access to training data and AI technologies, and developing policy frameworks ready for AI.
“Use technology to further the public good.”
He finished his talk with a call to action: “Don’t be mystified!” AI can become inherently social. He offered some key actions: engage with institutions for public good, foster communities for local development, or create your own training data. Use AI for good.
This first panel kicked off an engaging discussion for the AI Lab participants. Stayed tuned on Leading with AI for more updates.