The learning myth downplays the role of data in developing these systems, perpetuating a related myth that data is abundant, cheap, and labor-free. These myths drive down the value of data while hiding the work of those who shape, define, and label that data. The existence of this labor can sully the tech industry’s myth of representing progress and justice through technology. The AI industry is a data industry. The less we can see the costs associated with hoarding that data, the easier for companies to justify it.
I really like this connection here.