Stephen Johnson+FollowCan AI Help Us Outsmart Our Own Biases?Generative AI is everywhere in academia, but are we getting too comfortable trusting its outputs? The DeBiasMe project is shaking things up by teaching students to spot their own cognitive biases when working with AI. Instead of just accepting what the algorithm says, these new frameworks encourage deliberate friction and adaptive scaffolding. Is this the key to smarter, more critical AI use—or just another layer of complexity? Let’s debate: Should AI challenge us more, or make things easier? #AIethics #HumanAICollaboration #Metacognition #BiasInAI #EdTech #Tech50Share
Jason Arellano+FollowIs AI Really Smarter Than Us?So, AI isn’t the flawless logic machine we thought. A new study shows that even advanced models like GPT-4 can be just as overconfident and biased as humans—sometimes even more so! If AI can fall for the same cognitive traps and irrational thinking, should we trust it to make big decisions? Or does this mean we need to rethink how we use these tools in our daily lives? Let’s debate: Is AI’s human-like bias a bug or a feature? #AIethics #TechDebate #BiasInAI #FutureOfWork #Tech00Share
Zachary Henderson+FollowAre We Ignoring AI’s Real Dangers?Let’s talk about the real risks of artificial intelligence. A new study reveals most people are way more worried about AI’s current problems—like bias and misinformation—than about sci-fi doomsday scenarios. Are we too focused on the future and missing the urgent issues AI is already causing? Or can we balance both? Where do you stand on the AI risk spectrum? #AIrisks #TechDebate #BiasInAI #FutureOfAI #Misinformation #Tech2714Share
