  Blind people are often called to contribute image data to datasets for AI
innovation with the hope for future accessibility and inclusion. Yet, the
visual inspection of the contributed images is inaccessible. To this day, we
lack mechanisms for data inspection and control that are accessible to the
blind community. To address this gap, we engage 10 blind participants in a
scenario where they wear smartglasses and collect image data using an
AI-infused application in their homes. We also engineer a design probe, a novel
data access interface called AccessShare, and conduct a co-design study to
discuss participants' needs, preferences, and ideas on consent, data
inspection, and control. Our findings reveal the impact of interactive informed
consent and the complementary role of data inspection systems such as
AccessShare in facilitating communication between data stewards and blind data
contributors. We discuss how key insights can guide future informed consent and
data control to promote inclusive and responsible data practices in AI.
