Al & Data, Governance and Protocols

Revision as of 15:26, 12 November 2024 by Wikiadmin (talk | contribs) (Created page with "**focus on SETI** **and space studies** Cohen, J., & Stewart, I. (2002). Evolving the Alien: The science of extraterrestrial life. Czech, D. et al. The Breakthrough Listen search for Intelligent Life: MeerKAT target selection. *Publ. Astron. Soc. Pac.* **133**, 064502 (2021). Dick, S. (2003). Cultural evolution, the postbiological universe and SETI. *International Journal of Astrobiology,* *2*(1), 65-74. doi:10.1017/S147355040300137X Elliott, J (2015) Beyond an A...")
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    • focus on SETI** **and space studies**

Cohen, J., & Stewart, I. (2002). Evolving the Alien: The science of extraterrestrial life.

Czech, D. et al. The Breakthrough Listen search for Intelligent Life: MeerKAT target selection. *Publ. Astron. Soc. Pac.* **133**, 064502 (2021).

Dick, S. (2003). Cultural evolution, the postbiological universe and SETI. *International Journal of Astrobiology,* *2*(1), 65-74. doi:10.1017/S147355040300137X

Elliott, J (2015) Beyond an Anthropomorphic Template, : Acta Astronautica. Volume 116, November–December 2015, Pages 403-407, Elsevier Science Ltd, England.

Elliott, J. (2012) Constructing the Matrix: Acta Astronautica, Journal of the International Academy of Astronautics Elsevier Science Ltd, England.

Elliott, J & Baxter, S. (2012) The DISC Quotient: Acta Astronautica, Journal of the International Academy of Astronautics Elsevier Science Ltd, England.

Elliott, J. (2010), First stage identification of syntactic elements in an Extraterrestrial Signal: Acta Astronautica, Journal of the International Academy of Astronautics Elsevier Science Ltd, England.

Elliott, J. (2010) The Filtration of Inter-Galactic Objets Trouvés and the identification of the Lingua ex Machina hierarchy: Acta Astronautica, Journal of the International Academy of Astronautics Elsevier Science Ltd, England.

Price, D. C. et al. Expanded capability of the Breakthrough Listen Parkes data recorder for observations with the UWL receiver. *Res. Notes AAS* **5**, 114 (2021).

Enriquez, E. & Price, D. turboSETI: Python-based SETI search algorithm. Astrophysics Source Code Library ascl:1906.006 (2019).

Harp, G. R. et al. Machine vision and deep learning for classification of radio SETI signals. Preprint at https://arxiv.org/abs/1902.02426 (2019).

Ma, P.X., Ng, C., Rizk, L. *et al.* A deep-learning search for technosignatures from 820 nearby stars. *Nat Astron* **7**, 492–502 (2023). https://doi.org/10.1038/s41550-022-01872-z Code: https://github.com/PetchMa/ML_GBT_SETI

Oman-Reagan, Michael. “Can Artificial Intelligence Help Find Alien Intelligence?” *The Conversation*, May 10 2018. [Last accessed May 17, 2018](https://theconversation.com/can-artificial-intelligence-help-find-alien-intelligence-94375).

Schneider, S. (2016). Alien Minds. In Dick, S.J. (ed.), The Impact of Discovering Life Beyond Earth, Cambridge University Press, pp. 189–206.

Zhang, Y. G., Hyun Won, K., Son, S. W., Siemion, A. & Croft, S. Self-supervised anomaly detection for narrowband seti. In *2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)* 1114–1118 (IEEE, 2018).

Zhang, Z.-S. et al. First SETI observations with China’s Five-hundred-meter Aperture Spherical Radio Telescope (FAST). *Astrophys. J.* **891**, 174 (2020).

    • Wider bibliography**

Abdilla, Angela; Kelleher, Megan; Shaw, Rick; Yunkaporta, Tyson (2021). Out of the Black Box: Indigenous Protocols for AI. Deakin University. Report. https://hdl.handle.net/10536/DRO/DU:30159239

Bender, Emily M., et al. ["On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?🦜."](https://dl.acm.org/doi/10.1145/3442188.3445922) *Proceedings of the 2021 ACM conference on fairness, accountability, and transparency*. 2021.

Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, and Parker Barnes. 2020. Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAT* '20). Association for Computing Machinery, New York, NY, USA, 33–44. https://doi.org/10.1145/3351095.3372873

Raji, Inioluwa Deborah, et al. "AI and the everything in the whole wide world benchmark." *arXiv preprint arXiv:2111.15366* (2021).

Lewis, Jason Edward, Abdilla, Angie, Arista, Noelani, Baker, Kaipulaumakaniolono, Benesiinaabandan, Scott, Brown, Michelle, Cheung, Melanie, Coleman, Meredith, Cordes, Ashley, Davison, Joel, Duncan, Kūpono, Garzon, Sergio, Harrell, D. Fox, Jones, Peter-Lucas, Kealiikanakaoleohaililani, Kekuhi, Kelleher, Megan, Kite, Suzanne, Lagon, Olin, Leigh, Jason, Levesque, Maroussia, Mahelona, Keoni, Moses, Caleb, Nahuewai, Isaac ('Ika'aka), Noe, Kari, Olson, Danielle, Parker Jones, 'Ōiwi, Running Wolf, Caroline, Running Wolf, Michael, Silva, Marlee, Fragnito, Skawennati and Whaanga, Hēmi (2020) [*Indigenous Protocol and Artificial Intelligence Position Paper.*](https://spectrum.library.concordia.ca/id/eprint/986506/) Project Report. Indigenous Protocol and Artificial Intelligence Working Group and the Canadian Institute for Advanced Research, Honolulu, HI.

Sloman, A. (1984). The structure of the space of possible minds. In S. Torrance (ed.), The Mind and the Machine: Philosophical Aspects of Artificial Intelligence, Ellis Horwood, pp. 35–42.