Gary Ackerman @garyackerman@qoto.org

Education tends to adopt emerging skills into curriculum more slowly than other organizations.

Reflexive relationships exist between technology, the nature of information tasks, and interaction patterns.

The presence of researchers affects subject behavior, influencing observations made in social science studies.

“Ignorance more frequently begets confidence than does knowledge.” -Charles Darwin

It is so tiresome to read about genes “for” traits. Genetics does not work that way, except rarely.

If the job description calls for you to “multitask” make sure they mean “can manage multiple projects at the same time.” If they expect you to “work on multiple projects simultaneously,” then run!

“Experience is the name everyone gives to their mistakes.” -Oscar Wilde

While Galileo was a rebel, not all rebels are Galileo.
-Norman Levitt

If your hypothesis cannot be questioned—it is always correct despite the evidence—it cannot be called science.

"Fairness" in AI can be measured in different ways, such as ensuring similar outcomes for individuals with similar qualifications ("individual fairness") or ensuring groups have proportional outcomes ("group fairness"). #AIFairness

Eliminating variables like race, gender, or origin from data doesn't automatically remove bias, as discrimination can still surface through correlations with other factors. #BiasMitigation

A significant source of bias comes from skewed or incomplete data sets used to train AI algorithms. This can lead to skewed outcomes. #DataBias

One way AI models become biased is through confusing correlation with causation. Two correlated factors changing together don't necessarily mean one causes the other. #DataBias

AI has demonstrated improved performance on tasks like image recognition, chess playing, and medical analysis, but biases persist. #AIDecisionMaking

Bias is an inclination toward or outlook that is prejudiced. In the real world, bias closely relates to discrimination or treatment. #AIBias

Ultimately, the curriculum of the future is a result of actively engineering minds & mentalities to enact a preferred vision of society. It's shaped by complex interactions of economy, culture, expertise, & identity.

Learning is increasingly positioned as a lifelong, lifewide activity, harmonized across formal & informal spaces. It's becoming a lifestyle choice, often commodified, where consuming equals learning. #LifelongLearning #ConsumerCulture

Societies are increasingly understood through a "cybernetic style of thought" – saturated with metaphors like networks, flexibility, speed, virtuality. This style shapes how the curriculum is remade. #Cybernetics #EdTech

Curriculum is like a "saddleback," looking both to the past & promoting a vision for the future, expressing legacy, aspirations, & anxieties. It's far from neutral or nonpolitical. #CurriculumDesign #EducationPolicy

Humanizing pedagogies have historical roots in Paulo Freire's work, emphasizing critical consciousness, power, privilege, and ideology, not just methods.