The MadTech Podcast: AI, Ethics & Innovation
In a special edition of Exchange Wire’s MadTech Podcast, Joris Knetsch, our EVP APAC, joined Exchange Wire’s Editor Aimee Newell Tarín and COO Lindsay Rowntree for a deep and timely conversation about the latest headlines in the world of AI.
From breakthrough technologies to global regulatory shifts, the episode explored a rich mix of insight and foresight – while inviting listeners to reflect on the impact and possibilities behind this technology’s advancements. Moreover, throughout the episode, Joris emphasized the importance of bridging Eastern and Western perspectives in AI development with a collaborative approach to ensure that AI advancements are inclusive, ethical, and beneficial on a global scale.
These are our highlights:
Consent, creativity and control
One of the first topics tackled was OpenAI’s Sora, a video generation platform that’s making waves – not just for its capabilities, but for its opt-out model for creators.
“We need to distinguish between people and brand IP. As a private person, we have to be able to be careful. We should have an opt-in model rather than an opt-out. The opt-out model is pushing reality”, Joris says.
Joris also emphasized the need for clear frameworks that protect content creation while enabling innovation.
DeepSeek and the rise of open models
A report from the US government, that sounded alarm bells over China’s DeepSeek models, was the second topic of the episode. Joris shared insights into the geopolitical considerations and the competitive dynamics shaping the AI sector.
“I think the notion of privacy in China is different from the notion of privacy in US – and Europe. DeepSeek is hugely popular in China. There will be Chinese alternatives available that are obviously trained by Chinese content. So by definition, there is a Chinese bias. We should not confuse that with that being a bad AI, it’s not necessarily true.”
Regulation in motion: A global perspective
Joris brings a regional lens to the discussion, particularly around China’s AI labelling laws, which require clear identification of AI-generated content. He discussed the law’s potential, focusing on its impact on transparency, accountability, and ethical AI development.
The conversation touched on how platforms are reshaping the boundaries between authentic and synthetic content, and how transparency should be envisioned, while contrasting this with the fragmented regulatory landscape in the West – where debates around privacy, IP, and ethical use are still evolving.
“I would love for the web to come up with a technology that is able to label authentic content rather than synthetic content. I think that technology itself can be used to determine authenticity.”
Interested? Listen or watch the full episode here.
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