
Juliana Barros
AI in Society & Education Editor
Juliana Barros is a researcher and journalist specialized in the social impact of artificial intelligence. With a Master's in Digital Sociology from UFMG, she covers at SWEN.AI how AI is transforming sectors such as education, healthcare, the job market, and public services — focusing on the populations most affected by these changes.
Her coverage questions both uncritical optimism and paralyzing pessimism about AI: Juliana investigates concrete evidence on automation's impact on employment, AI's transformative potential in public education, and the risks of amplifying inequalities when these technologies are poorly implemented.
Areas of Expertise
Published Articles(36 total)
Perplexity Unveils Space, a Secure Sandbox Platform for AI Agents
Artificial IntelligenceJul 17, 2026RAG Architecture in Production: Reducing Latency by 30% and Increasing Efficiency
analiseJul 17, 2026Trump Criticizes New York AI Data Center Ban and Demands Immediate Policy Change
Artificial IntelligenceJul 15, 2026GenAI in Teaching Market Projected to Reach $9.1 Billion by 2030
Artificial IntelligenceJul 09, 2026Meta's $125 Billion AI Investment Positions Company as Potential Cloud Revenue Competitor
Artificial IntelligenceJul 07, 2026AI Tools for Lawyers, Doctors, and Accountants in 2026: A 70% Adoption Rate Shifts Market Dynamics
mercadoJul 07, 2026Microsoft Lays Off 4,800 Employees in Strategic Pivot Toward AI
Artificial IntelligenceJul 07, 2026Canada's AI Strategy Faces Criticism Over Lack of Transparency in Palantir Contracts
Artificial IntelligenceJul 06, 2026Alibaba Bans Employees from Using Anthropic's Claude Code, Mandates Switch to Qoder
Artificial IntelligenceJul 05, 2026Broadcom Positioned as Strategic Investment for AI Infrastructure Growth
Artificial IntelligenceJun 22, 2026
Showing the 10 most recent articles of 36 published.
Editorial Commitment
- ✓Independent coverage — no editorial sponsorship or paid relationships with AI companies
- ✓Benchmark data sourced from primary public sources (LMArena, Artificial Analysis)
- ✓Transparent evaluation methodology — available at /benchmark/metodologia
- ✓Editorial and privacy policy available at /sobre
Editorial contact: contato@swen.ia.br
