‘Equality Machine’ and Inclusive University | In higher ed – Fxsad

‘Equality Machine’ and Inclusive University | In higher ed

The Equality Machine: Using Digital Technology for a Brighter, More Inclusive Future By Orly Lobel

Published in October 2022.

If the dream of creating high-quality/low-cost online programs becomes a reality, artificial intelligence (AI) could be a key enabling technology. The job of AI in a scalable (high-enrollment) online course will be to better connect the instructor with the student. AI will decide when a human teacher should coach, encourage and engage with the student – ​​and when to hold back. The professor and AI collaborate to scale the adaptive learning model that is the secret to effective teaching practices.

Integrating teachers and AI to measure quality online learning is, in my knowledge, an unrealistic proposition today. After reading Equalization machineHowever, I am more hopeful than ever that this vision will come to fruition. While the book does not focus on higher education, the book provides enough examples of the transformative power of digital technology to improve human progress that some degree of academic techno-optimism can be justified.

Orbel, a law professor at UC San Diego, sets out to challenge conventional wisdom that technologies like AI present more risks than benefits. The book traces several examples of principled and ethical big data analytics and AI being used for progressive purposes. Examples include using digital technologies to expose and correct bias in hiring, promotion and compensation. Gender and race pay and location gaps can be better addressed with good data, allowing employers and employees to be exposed to ongoing labor market inequities.

Some of the most powerful examples of the potential for digital technologies to improve security are described in Equalization machine They are from the field of health and health care. Lobel describes early efforts by pioneering physicians and researchers to combine algorithms for diagnosis and personalized treatments. More recently, AI-enabled medical devices such as insulin pumps can dynamically adjust drug doses before diabetic health crises occur.

They are probably the most controversial parts. Equalization machine It will be Orly’s thinking about the future of sex robots. Like the rest of the book, Orly’s take on tech-enabled friendship bots is nuanced, balanced, and complex. She examines the downsides of the sex-tech industry’s reinforcement of existing sexist and racist stereotypes, but ultimately comes out on the bright side. Intelligent sex robots have the potential to alleviate loneliness and enhance pleasure, and their creation should be met with little fear and a lot of thought, debate and discussion.

While Equalization machine It seeks to present a positive view of technology in promoting social justice, equality, and happiness—the book is by no means a defense of technology. Orley is highly skeptical that the tech industry will prioritize inclusive and supportive social applications and systems in the absence of research, regulation, and advocacy. The book offers ideas on how to engage with the tech industry to transform incentives to promote fair design.

in reading Equalization machineI wish Lobel would turn her analytical lens to tech, companies, and higher education. What role can we envision for platform companies, big data, and AI in creating accessible, affordable, and high-quality online degree programs? Where do the artificial intelligence and university leadership communities converge? How can we extend the idea of ​​creating equity machines to the work of higher education?

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