{"id":38091,"date":"2025-09-22T18:30:13","date_gmt":"2025-09-22T13:00:13","guid":{"rendered":"https:\/\/www.editage.com\/insights\/?post_type=slideshare&p=38091"},"modified":"2025-09-22T18:52:44","modified_gmt":"2025-09-22T13:22:44","slug":"what-ai-still-cant-do","status":"publish","type":"slideshare","link":"https:\/\/www.editage.com\/insights\/what-ai-still-cant-do","title":{"rendered":"Between Promise and Practice: What AI Still Can’t Do"},"content":{"rendered":"

Artificial intelligence has rapidly become an integral part of academic research, offering powerful capabilities for literature synthesis, data analysis, and ideation. For doctoral students, these tools present both unprecedented opportunities and significant risks. While AI can accelerate certain aspects of research and writing, its misuse can undermine the very foundations of rigorous academic inquiry.<\/p>\n

The challenge lies not in avoiding AI entirely, but in understanding its limitations and applying it judiciously. Here, we go through critical pitfalls that can derail research work when AI is used inappropriately.<\/p>\n","protected":false},"author":2739,"featured_media":38478,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false},"categories":[2413,2418],"new_categories":[],"new_tags":[5943],"series":[],"class_list":["post-38091","slideshare","type-slideshare","status-publish","has-post-thumbnail","hentry","category-conducting-research","category-research-ethics","new_tags-ai-in-academia"],"acf":[],"yoast_head":"\nBetween Promise and Practice: What AI Still Can't Do | Editage Insights<\/title>\n<meta name=\"description\" content=\"Essential AI pitfalls to avoid when using artificial intelligence in academic research, from bias issues to academic integrity concerns.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.editage.com\/insights\/what-ai-still-cant-do\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Between Promise and Practice: What AI Still Can't Do | Editage Insights\" \/>\n<meta property=\"og:description\" content=\"Essential AI pitfalls to avoid when using artificial intelligence in academic research, from bias issues to academic integrity concerns.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.editage.com\/insights\/what-ai-still-cant-do\" \/>\n<meta property=\"og:site_name\" content=\"Editage Insights\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Editage\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-22T13:22:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/09\/Screenshot-2025-09-22-185044.png\" \/>\n\t<meta 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