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Building Equitable Ecologies of Artificial Intelligence and Machine Learning

A mini-symposium with artists and data scientists

A colorful flowchout spells out Building Equitable Ecologies of Artificial Intelligence and Machine Learning
When

Friday, October 15, 2021
10:30 am – 5:00 pm

Where

Hybrid Event

Details

Conference / Symposium
Open to the public
Free of charge

RSVP Requested

Big Data and Arti­fi­cial Intel­li­gence (AI) have become a major force that impacts our daily lives in essen­tial ways, from how polit­i­cal mes­sag­ing and mar­ket­ing are designed, to automat­ing the process of decid­ing who gets hired or which neigh­bor­hood should be intensely patrolled. Big Data and AI can be an impor­tant agent for social jus­tice and equal­ity; or they can also be used to per­pet­u­ate injus­tice and hurt pop­u­la­tions that are already dis­ad­van­taged and mar­gin­al­ized. Artists have been at the fore­front, together with sci­en­tists, in explor­ing ways in which AI sys­tems can be more equi­table, trans­par­ent and inclu­sive. This mini-sym­po­sium brings lead­ing voices in the field together, and is inspired by two projects at U‑M:

  • Stephanie Dink­ins: On Love & Data, the first sur­vey exhi­bi­tion of this promi­nent trans­me­dia artist whose work cre­ates plat­forms for dia­logue about AI as it inter­sects race, gen­der, aging and future his­to­ries. This exhibit is orga­nized by Stamps Gallery, Penny W. Stamps School of Art & Design, from August 27 to Octo­ber 23, 2021 and gen­er­ously sup­ported by the Andy Warhol Foun­da­tion for the Visual Arts.

  • Fair Rep­re­sen­ta­tion in Arts and in Data: a col­lab­o­ra­tion between data sci­en­tists, artists and museum cura­tors and funded by the U‑M President’s Arts Ini­tia­tive, the project team uses facial recog­ni­tion tech­nol­ogy to con­sider both the lim­i­ta­tions of racial rep­re­sen­ta­tion within UMMA’s col­lec­tion and the lim­i­ta­tions of the tech­nol­ogy itself. The results cul­mi­nate in an exhibit, White Cube / Black Box”, which will open at U‑M Museum of Art on Octo­ber 162021.

Octo­ber 15, 2021 Mini-Sym­po­sium Program

Hybrid for­mat / All events open to the pub­lic / RSVP for links to Zoom sessions

10:30 am: Open­ing Remarks

10:40 — noon: Stephanie Dink­ins, Keynote and Q&A

12:30 — 1:45 pm: Art, Machine Learn­ing and Data Jus­tice Panel Discussion

  • Sophia Brueck­ner, Assis­tant Pro­fes­sor, Stamps School of Art & Design, U‑M

  • H.V. Jagadish, Direc­tor, Michi­gan Insti­tute for Data Sci­ence; Bernard A Galler Col­le­giate Pro­fes­sor of Elec­tri­cal Engi­neer­ing and Com­puter Sci­ence, U‑M

  • Diana Nucera (Mother Cyborg), Artist, Founder and Direc­tor of the Equi­table Inter­net Initiative

  • Mod­er­a­tor: Sri­moyee Mitra, Direc­tor, Stamps Gallery, U‑M

2:30 — 4 pm: Data Sci­ence and Machine Learn­ing for Artists Work­shop
In-Per­son Event / U‑M Museum of Art, 525 S State St, Ann Arbor
Kerby Shed­den (Direc­tor, Con­sult­ing for Sta­tis­tics, Com­put­ing, and Ana­lyt­ics Research; Pro­fes­sor of Sta­tis­tics, Uni­ver­sity of Michi­gan) presents a non-tech­ni­cal explo­ration of meth­ods and pos­si­bil­i­ties for the use of data sci­ence and machine learn­ing in the arts. The work­shop will cover a few of the ways that cre­ative works can be viewed as data, and con­sider how meth­ods for learn­ing from data can be used to advance cre­ation and insight in the arts. Stu­dents pur­su­ing degrees at all lev­els in any field of arts are espe­cially encour­aged to attend. No prior expo­sure to data sci­ence or machine learn­ing is expected. Reg­is­tra­tion required.

Co-orga­nized by Stamps Gallery, Penny W. Stamps School of Art & Design, Dig­i­tal Stud­ies Insti­tute, Michi­gan Insti­tute of Data Sci­ence, and Uni­ver­sity of Michi­gan Museum of Art. Gen­er­ously sup­ported by the U‑M Arts Initiative.

Pro­gram Committee:

  • Jing Liu, Man­ag­ing Direc­tor, Michi­gan Insti­tute for Data Sci­ence, U‑M

  • Sri­moyee Mitra, Direc­tor, Stamps Gallery, U‑M

  • Marisa Olson, Exec­u­tive Direc­tor, Dig­i­tal Stud­ies Insti­tute, U‑M

Acces­si­bil­ity

Stamps events are free and open to the pub­lic, and we are com­mit­ted to mak­ing them acces­si­ble to all atten­dees. Vir­tual events will take place online using the Zoom plat­form with an auto-gen­er­ated Live Tran­script available. 

If you antic­i­pate need­ing any addi­tional accom­mo­da­tions to par­tic­i­pate, please email Jen­nifer Junker­meier-Khan at jenjkhan@​umich.​edu at least one week in advance of the sched­uled event so we can arrange for your accom­mo­da­tion or an effec­tive alternative. 

Co-orga­nized by Stamps Gallery, Penny W. Stamps School of Art & Design, Dig­i­tal Stud­ies Insti­tute, MIDAS (Michi­gan Insti­tute of Data Sci­ence), and UMMA (Uni­ver­sity of Michi­gan Museum of Art) and gen­er­ously sup­ported by the UM Arts Initiative.