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Algorithmic Justice

Renée Cummings

Renée Cummings joins us to start our TENTH season of Are You A Robot?! In this episode, we dive into actions we can take to ensure AI remains free from bias and other ethical issues.

Interview with Renée, AI ethicist, data activist and criminologist. You can follow her on LinkedIn: https://bit.ly/32Y81Qd or Twitter: https://bit.ly/3G0hmFF

Renée is a criminologist, criminal psychologist, therapeutic jurisprudence specialist, AI ethicist and the historic first Data Activist in Residence at The School of Data Science, University of Virginia. Renée is also a community scholar at Columbia University. Renée is on the frontline of ethical AI, generating real-time responses to many of the consequences of AI and the impacts of data on society. She is committed to using AI to empower and transform communities by helping governments and organizations navigate the AI landscape and develop future AI leaders. Renée lectured extensively on AI and Data Ethics and contributed significantly to creating the first Ethical Emerging Technologist certification. Many of her lectures are available on Coursera. Renée is committed to fusing AI with criminal justice for ethical real-time solutions to improve law enforcement accountability and transparency, reduce violence, enhance public safety, public health, quality of life, community efficacy and community resilience.

We’ve had many discussions about creating ethical AI, but Renée raised some tasks points to ensure that actions are put to our words. Important action points which she mentioned in our interview include:

  1. Understand how history informs our future. False narratives around certain groups still exist in our society today. We mustn’t reflect these in our code and algorithms.
  2. Be vigilant. Renée argues that an algorithm can impact a legacy of a generation. Therefore, it is vital to ensure that we remain vigilant when risks occur.
  3. Broaden worldview. Learn about different groups that our technologies might impact
  4. Don’t be afraid to ask tough questions.

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