======Artificial Intelligence and the Future of Humans====== This report presents the findings of a non-scientific canvassing conducted by Pew Research Center and Elon University's Imagining the Internet Center, where 979 experts shared their expectations of the impact of artificial intelligence (AI) on human life by 2030. \\ \\ (Generated with the help of GPT-4) \\ ^ Quick Facts ^^ |Report location: |[[https://espas.secure.europarl.europa.eu/orbis/system/files/generated/document/en/PI_2018.12.10_future-of-ai_FINAL1.pdf|source]] | |Language: |English | |Publisher: |[[encyclopedia:pew_research_center|Pew Research Center]] | |Authors: | Alex Luchsinger, Lee Rainie, Janna Anderson | |Geographic focus: |Global | |Page count: |123 pages | =====Methods===== The research method involved an online canvassing where experts were asked to predict the impact of AI on human life by 2030 and to explain their reasoning. They were also invited to describe how human-machine interactions might evolve in various contexts such as the workplace, healthcare, and education. \\ \\ (Generated with the help of GPT-4) \\ =====Key Insights===== The majority of experts believe AI will enhance human capacities and empower individuals, leading to generally positive outcomes. However, concerns were raised about potential negative impacts, including job displacement, loss of privacy, and increased socioeconomic inequality. \\ \\ (Generated with the help of GPT-4) \\ =====Additional Viewpoints===== Categories: {{tag>English_publication_language}} | {{tag>Global_geographic_scope}} | {{tag>ai_impact}} | {{tag>artificial_intelligence}} | {{tag>big_data}} | {{tag>digital_divide}} | {{tag>digital_futures}} | {{tag>digital_life}} | {{tag>education}} | {{tag>ethical_standards}} | {{tag>healthcare}} | {{tag>human-machine_interaction}} | {{tag>innovation}} | {{tag>job_displacement}} | {{tag>policy_regulation}} | {{tag>privacy}} | {{tag>socioeconomic_inequality}} | {{tag>technology}} ~~DISCUSSION~~