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MIT Technology Review Open-sourcing generative AI

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MIT Technology Review
Open-sourcing generative AI

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Is the open-source approach, which has democratized access to software, ensured transparency, and improved security for a long time, now poised to have an identical impact on AI? We dissect the balance between collaboration and control, legal ramifications, ethical considerations, and innovation barriers because the AI industry seeks to democratize the event of huge language models.

Explore more from Booz Allen Hamilton on the long run of AI


In regards to the speakers

Alison Smith, Director of Generative AI, Booz Allen Hamilton

Alison Smith is a Director of Generative AI at Booz Allen Hamilton where she helps clients address their missions with modern solutions. Leading Booz Allen’s investments in Generative AI and grounding them in real business needs, Alison employs a practical approach to designing, implementing, and deploying Generative AI that blends existing tools with additional customization. She can be accountable for disseminating best practices and key solutions throughout the firm to make sure that all teams are up-to-date on the newest available tools, solutions, and approaches to common client problems.

Along with her role at Booz Allen which balances technical solutions and business growth, Alison also enjoys staying connected to and serving her local people. From 2017-2021, Alison served on the board of a non-profit, DC Open Government Coalition (DCOGC), a bunch that seeks to boost public access to government information and ensure transparent government operations; in November 2021, Alison was recognized as a Power Woman in Code by DCFemTech.

Alison has an MBA from The University of Chicago Booth School of Business and a BA from Middlebury College.

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