인공지능(AI)과 관련된 가장 성공적이고 영향력 있는 TED 강연 중 일부
다음 TED 강연은 AI의 발전, 잠재력, 도전 과제에 대한 다양한 관점을 제시하며 AI가 사회, 윤리, 인류의 미래에 미치는 영향에 대한 귀중한 통찰력을 제공합니다.
Max Tegmark - "How to get empowered, not overpowered, by AI": In this insightful talk, Max Tegmark, a renowned physicist and co-founder of the Future of Life Institute, discusses the potential benefits and risks associated with AI. He emphasizes the importance of aligning AI with human values to ensure it serves humanity's best interests.
https://www.ted.com/talks/max_tegmark_how_to_get_empowered_not_overpowered_by_ai
Fei-Fei Li - "How we're teaching computers to understand pictures": AI expert Fei-Fei Li shares her groundbreaking work in computer vision, which aims to teach computers to recognize and understand images. She discusses the development of ImageNet, a massive dataset that has significantly advanced the field of computer vision and AI.
https://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures
Stuart Russell - "How AI might make us better humans": Stuart Russell, a leading AI researcher and co-author of the widely-acclaimed textbook "Artificial Intelligence: A Modern Approach," explores the idea that AI has the potential to enhance human capabilities and improve our decision-making processes, ultimately making us better humans.
https://www.ted.com/talks/stuart_russell_3_principles_for_creating_safer_ai
Zeynep Tufekci - "Machine intelligence makes human morals more important": In this thought-provoking talk, sociologist and writer Zeynep Tufekci argues that as AI becomes increasingly integrated into our lives, it is crucial to consider the ethical implications of AI-driven technologies and to ensure that human morals guide their development.
https://www.ted.com/talks/zeynep_tufekci_machine_intelligence_makes_human_morals_more_important
Jeremy Howard - "The wonderful and terrifying implications of computers that can learn": Data scientist Jeremy Howard delves into the world of deep learning, a subfield of AI that focuses on teaching computers to learn from data. He presents various applications of deep learning, from medical diagnostics to language translation, and discusses the transformative potential of AI across industries.
Sam Harris - "Can we build AI without losing control over it?": Philosopher and neuroscientist Sam Harris explores the possible consequences of developing superintelligent AI. He raises concerns about the potential loss of control over AI and emphasizes the need for a collective effort to ensure AI is designed with safety and ethical considerations in mind.
https://www.ted.com/talks/sam_harris_can_we_build_ai_without_losing_control_over_it
