Hajkowicz, Stefan and Bratanova, Alexandra and Schleiger, Emma and Naughtin, Claire (2023): Australia’s artificial intelligence ecosystem: The second update. Published in: (8 December 2023)
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Abstract
This is the second report about Australia’s AI ecosystem with the first being published last year in 2022 (NAIC, 2022). It has been commissioned by the National Artificial Intelligence Centre (NAIC) and delivered by a research team in CSIRO. Australia’s AI ecosystem is comprised of start-ups, small-to-large-sized companies, universities, research institutes, industry organisations and public sector agencies engaged in developing and applying AI technology. This report aims to provide a snapshot of the current state of Australia’s AI ecosystem and inform future strategy and policy decisions about its growth and development. This report contains information about companies, product innovation, investment, universities, research institutes and specialised capabilities relating to AI in Australia. It also contains information about the perceived challenges and opportunities for future growth and development of AI in Australia. The report aims to inform people in industry, academia, government and community spheres making decisions about AI capability uplift. This report is useful to anyone wanting to understand and develop AI capability in Australia. It could be used by investors looking for opportunities in the Australian marketplace. It could be used by a company wanting to train and recruit AI talent. It could be used by someone starting or developing an AI company. It could be used by universities and research institutes planning for AI capability development. It could be used by Local, State/Territory and Federal government agencies aiming to support the AI industry and job growth. And, it could be used by workers and students planning their AI careers.
Item Type: | MPRA Paper |
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Original Title: | Australia’s artificial intelligence ecosystem: The second update |
English Title: | Australia’s artificial intelligence ecosystem: The second update |
Language: | English |
Keywords: | Artificial intelligence; Australia; ecosystem; business; clusters |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O14 - Industrialization ; Manufacturing and Service Industries ; Choice of Technology O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O32 - Management of Technological Innovation and R&D O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O38 - Government Policy |
Item ID: | 121102 |
Depositing User: | Dr Alexandra Bratanova |
Date Deposited: | 09 Aug 2024 10:51 |
Last Modified: | 09 Aug 2024 10:51 |
References: | Arundel A, Kabla I. (1998) What percentage of innovations are patented? empirical estimates for European firms, Research Policy 27(2), DOI: 10.1016/S0048-7333(98)00033-X. AIHW. (2023). Culturally and linguistically diverse Australians. Australian Institute of Health and Welfare. Retrieved from: https://www.aihw.gov.au/reports-data/population-groups/cald-australians/overview. Australian Bureau of Statistics. (2023). Counts of Australian Businesses, including Entries and Exits, June 2019 to June 2023 (Catalogue Number 8165.0). Australian Government. (2023). Intergenerational report 2023: Australia’s future to 2063. Australian Government: Canberra, Australia. Bratanova A, Pham H, Mason C, Hajkowicz S, Naughtin C, Schleiger E, Sanderson C, Chen C, Karimi S. (2022). Differentiating artificial intelligence activity clusters in Australia. Technology in Society, 71: 102104. Brynjolfsson E, Li D, Raymond LR (2023) Generative AI at Work. National Bureau of Economic Research working paper 31161, DOI 10.3386/w31161. Cameron A. (2022) Building an innovation cluster: Approaches and policies to stimulating new industry. CSIRO Publishing. Brisbane, Australia. Crawley C, Beynon M, Munday M. (2013) Making location quotients more relevant as a policy aid in regional spatial analysis. Urban Studies 50(9): 1854–1869. Crunchbase. (2023a) Crunchbase database. Retrieved from: https://www.crunchbase.com/home (June-August 2023). Crunchbase. (2023b) What Industries are included in Crunchbase? Crunchbase Product Team post. Retrieved from: https://support.crunchbase.com/hc/en-us/articles/360043146954-What-Industries-are-included-in-Crunchbase- (12 August 2023). CSIRO. (2023). Australian AI Ecosystem Discoverability Platform Beta. Retrieved from: https://www.csiro.au/en/research/technology-space/ai/ai-capabilities-directory?start=0&count=12 (14 July 2023). Datarock. (2023). Home page. Retrieved from: https://datarock.com.au/ Davidson, J. (2023). Labor ignoring ‘the elephant in the room’ on AI: Experts. Australian Financial Review. 7 August 2023. Department of Industry, Science and Resources. (2023a). Artificial intelligence. Retrieved from: https://www.industry.gov.au/science-technology-and-innovation/technology/artificial-intelligence. Department of Industry, Science and Resources. (2023b). Safe and responsible AI in Australia: Discussion paper. DiUS. (2023). Datarock: ML powered drill core analysis software. Retrieved from: https://dius.com.au/case-studies/dius-and-solve-geosolutions-extract-new-value-in-mining-using-artificial-intelligence. Fifth Quadrant. (2022). Responsible AI Index 2022: Report. Goode K, Kim H M, Deng M. (2023). Examining Singapore's AI progress. Hajkowicz S, Evans D, Cameron L, Trinh K, Chen H, Bratanova A, Mason C, Pham H, Travis S, Black R. (2023) The Geography of Australia’s Digital Industries: Digital technology industry clusters in Australia’s capital cities and regions. CSIRO and the Technology Council of Australia, Canberra. Hajkowicz S, Reeson A, Evans D, Bratanova A, Cameron L. (2021) Industry Growth Opportunities: A technical report to support the Western Parkland City Economic Development Strategy. A research report for the New South Wales Government by CSIRO Data61 Insights, Australia. Hajkowicz SA, Whittle J (2023) Yes, AI could help us fix the productivity slump – but it can’t fix everything. The Conversation 22 June. Harrison AI. (2023). Home page. Retrieved from: https://harrison.ai/ Jones C M, Danaher L, Milne M R, Tang C, Seah J, Oakden-Rayner L, Johnson A, Buchlak Q D, & Esmaili, N. (2021). Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study. BMJ Open, 11(12), e052902. Maslej N, Fattorini L, Brynjolfsson E, Etchemendy J, Ligett K et al. (2023). The AI Index 2023 Annual Report. AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2023. Muro M, Liu S. (2021). The geography of AI: Which cities will drive the artificial intelligence revolution? Brookings Institute. Nakazato, S., Squicciarini, M. (2021) Artificial intelligence companies, goods and services: A trademark based analysis. OECD Science, Technology and Industry Working Papers 2021/06. Observatory of Economic Complexity. (2023). Economic Complexity Index. OECD (2023) Revealed technology advantage in selected fields. Organisation for Economic Cooperation and Development, Paris. DOI: 10.1787/data-00673-en Pitchbook. (2023) Pitchbook database. Retrieved from: https://pitchbook.com/ (June-July 2023). Productivity Commission. (2022). 5-year productivity inquiry: Australia's data and digital dividend. Reid A, O’Callaghan S, & Lu Y. (2023). Implementing Australia’s AI Ethics Principles: A selection of Responsible AI practices and resources. Sapia. (2023). Home page. https://sapia.ai/ Stanford HCAI. (2023) Global Vibrancy Tool – Artificial Intelligence Index. Stanford University Human-Centered Artificial Intelligence. Retrieved from: https://aiindex.stanford.edu/vibrancy/ (23 August 2023). Swoop Aero. (2023). Home page. https://swoop.aero/ Toney A, Flagg M. (2020). U.S. Demand for AI-Related Talent. Center for Security and Emerging Technology (CSET). University of Toronto. (2020) Canada’s ai ecosystem: government investment propels private sector growth, University of Toronto, Canada. VAPAR. (2023). Home page. https://www.vapar.co/ |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/121102 |