Is AI biased or unbiased?
⚖️ AI can inherit the biases of its training data.
– Skewed datasets = skewed results.
– Discrimination can be invisible but systemic.
– Ethical AI means constant testing & correction.
Machines don’t choose fairness and ethics — humans do.
More on → https://techfos.gr/texnhth-nohmosynh-kai-h8ikh
#AI #Ethics #ArtificialIntelligence #Bias #TechForGood #Laws #Fairness #EthicalAI #Transparency #HumansAndAI #Responsibility #Aiproblems #SocialImpact
AI Will Automate Some Tasks, Not All
🤖 AI can replace repetitive, rules-based tasks — but not human judgment.
Data entry? ✅ Likely to be automated.
Complex problem-solving? ❌ Still needs human oversight.
The future of work isn’t man vs. machine, it’s man + machine.
Read more insights → https://techfos.gr/texnhth-nohmosynh-kai-an8rwpos
#AI #FutureOfWork #ArtificialIntelligence #HumansAndAI #Automation #FourthIndustrialRevolution #JobReplacement #Future #Skills #Jobmarket #NewAge
I did a talk at MIT IDE several months ago discussing my work identifying credible sources on medical information on social media platforms such as YouTube. Paula Klein did a wonderful job summarizing some of the topics of my research as well as some fantastic work by Ziad Obermeyer and others in this medium post #medicalmisinformation #socialmedia #contentmoderation #humansandAI #machinelearning
Questions about whether machine learning and AI are helping physicians and patients improve diagnosis and care — or creating more confusion — are top of mind. For instance, how effective are…
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Anjana Susarla