We Need to Think Differently About Artificial Intelligence PDF

EBSCO Export LongDbName: Canadian Reference Centre ShortDbName: rch AN: 179703615 Title: "We need to think differently about artificial intelligence". PublicationDate: 20240921 Contributors: Wilkins, Alex; DocTypes: Interview; PubTypes: CoverDate: 9/21/2024 PeerReviewed: Source: New Scientist IsiTyp...

EBSCO Export LongDbName: Canadian Reference Centre ShortDbName: rch AN: 179703615 Title: "We need to think differently about artificial intelligence". PublicationDate: 20240921 Contributors: Wilkins, Alex; DocTypes: Interview; PubTypes: CoverDate: 9/21/2024 PeerReviewed: Source: New Scientist IsiType: GEN DOIDS: ; ISBNS: ; ISSNS: 0262-4079; PublisherLocations: ; RecordType: ARTICLES BookEdition: Publisher: New Scientist Ltd. PageStart: 40 PageEnd: 43 PageCount: 4 Volume: 263 Issue: 3509 Abstract: In an interview with New Scientist, Professor Neil Lawrence, a machine learning expert, argues that comparing artificial intelligence (AI) to human intelligence is misleading and pointless. He believes that AI should not be seen as a replacement for human intelligence, but rather as a different form of intelligence that operates on a large scale. Lawrence suggests that humans should focus on understanding and harnessing their own intelligence, as well as appreciating the unique qualities that make human intelligence special. He also highlights the potential of AI to revolutionize information access and disrupt established players in the tech industry. Language: eng Subjects: ARTIFICIAL intelligence; HUMAN information processing; INFORMATION storage & retrieval systems; GEOLOGICAL time scales; INSECT societies; ANT colonies; plink: https://research.ebsco.com/linkprocessor/plink?id=fcf1898f-0d06-3959- b3bf-54c0d59f55f2