AI & Society

Is democracy now just a math problem? My prediction towards how AI will soon take over elections and beyond, shaping the world one person at a time.

As digital systems increasingly influence domains such as welfare distribution and cultural narratives, it becomes essential to scrutinise the asymmetries present in their design, deployment, and governance. This article analyses the shifting nature of digital inequality through the interdisciplinary perspectives of global development and technology anthropology.

In recent years, artificial intelligence has gained the uncanny ability and is perceived by many to produce artwork that rivals, replicates, or even eclipses the visual complexity of professional human-made efforts. While some hail this as a boundary-breaking leap for creativity, others view it as a direct threat to the livelihoods of artists and the sanctity of artistic expression. By blending algorithms with massive, often unlicensed image datasets, AI not only reshapes how we define art but also stirs contentious debates around ownership, ethics, and cultural authenticity.

Unearth how smartphones, smart speakers, and other always-on devices may be collecting far more than just wake words. From misleading privacy settings to high-stakes data breaches; this detailed exploration exposes the surveillance risks lurking in everyday tech. Are we better off learning how to safeguard our conversations and push back against Big Tech's expanding data ecosystem, or are these concerns merely a series of coincidences and conspiracy theories?

AI is revolutionizing industries, but its energy demands are soaring. Explore the impact of AI's power consumption, the challenges it poses to sustainability, and the innovations shaping a more energy-efficient future. Discover how policy, hardware advancements, and industry shifts are addressing AI’s environmental footprint.

Today, I explore how quantum computing and artificial intelligence transform industries like finance, healthcare, and cybersecurity. Learn about the latest advancements in quantum error correction, hybrid computing models, and real-world applications of quantum algorithms. Stay ahead with expert insights into the challenges, ethical considerations, and the roadmap to achieving quantum advantage. Read now to explore how quantum AI is redefining the technological landscape.

This article emphasizes the crucial role of Product Managers in addressing AI-fueled products to ensure fairness in the applications of AI. It outlines the responsibility of PMs to understand sources of bias—data, algorithmic, and measurement—and implement strategies like ensuring data diversity, promoting algorithmic transparency, and conducting fairness tests. By actively involving diverse user groups and maintaining transparency about AI practices, PMs can enhance trust, improve user satisfaction, and contribute to equitable AI development.