Yesterday, Senators Wyden and Booker and Representative Clarke along with 14 other co-sponsors re-introduced the Algorithmic Accountability Act. While Congressional legislation may not seem super exciting, I am HYPED about this bill, and I wanted to share some of the reasons why.
https://posts.bcavello.com/why-im-still-hyped-about-the-algorithmic-accountability-act/
#TagZone #AlgorithmicAccountability #AIPolicy #TechPolicy #USCongress
Why I’m (still) hyped about the Algorithmic Accountability Act

B Cavello
Congress is in a pretty stuck situation right now, even despite all the energy there has been recently around AI. While many are aiming to pass something more comprehensive, I think that more targeted and measured approaches like this may be a path forward.
Even if this particular bill doesn’t make its way into law, it has many of the fundamental components of what I think can make strong AI policy: continuous assessment, an emphasis on applications, & strategic disclosure strategy.
A reality that few wish to actively engage with is the “tall poppy syndrome” that is taking place around responsible tech. Right now, bad practices thrive in obscurity while imperfect efforts face disproportionate scrutiny.
This leads to the people pushing for positive change in their organizations becoming burnt out: regarded as an antagonist and risk from within and a compromised actor from without.
One of my guiding beliefs is that there are rebels the Death Star: there are people in pretty much every screwed up, harmful institution who are pushing for positive change, for greater equity, justice, and compassion.
Often, what these #RebelsInTheDeathStar need from people outside is support systems (the energy, community, and hope to keep trying) and air cover (the justification to internal stakeholder to do keep doing change work without being viewed as a threat).
When we develop rules, regulations, laws, I think it can be useful to recognize that the systems we are governing are, ultimately, just a buncha humans.
That doesn’t mean we shouldn’t be ambitious or scrutinizing, but it does mean that understanding the realities of how people work and why things are the way they are can be useful to achieving the outcomes we want. Change work is people work.