# Building a Framework to Trust AI

- Show: [EE Times Current](https://hardwarepodcasts.com/podcast/ee-times-current)
- Published: 2021-09-24
- Length: 29m
- Page: https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-24-building-a-framework-to-trust-ai
- Listen: https://podcast.show/aspencore/episode/81350984/

## Summary

Helen Toner, Director of Strategy at Georgetown University’s Center for Security and Emerging Technology, argues that AI currently lacks the engineering discipline required for mission-critical systems, describing current machine learning development as akin to 'alchemy.' She outlines a necessary framework involving basic science, socio-legal standards, and engineering rigor to ensure reliability, citing failures in social media algorithms and hiring tools as evidence of current risks. The episode also covers industry news, including Arm’s Sophie architecture for automotive software and Silicon Labs’ new in-line programming capabilities for IoT security.

## Chapters

- [0:00](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-24-building-a-framework-to-trust-ai#t=0) Introduction: EE Times Weekly Briefing and Industry News
- [3:54](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-24-building-a-framework-to-trust-ai#t=234) Silicon Labs CEO Matt Johnson on In-Line Programming and IoT Security
- [8:14](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-24-building-a-framework-to-trust-ai#t=494) Helen Toner Defines AI as Cognitive Automation and Lacks Engineering Discipline
- [13:44](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-24-building-a-framework-to-trust-ai#t=824) The Gap in AI Reliability: Social Media Algorithms and Autonomous Vehicles
- [19:39](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-24-building-a-framework-to-trust-ai#t=1179) Building Trust: Basic Science, Socio-Legal Frameworks, and NIST Initiatives

## Topics

- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Security & privacy](https://hardwarepodcasts.com/topic/security-and-privacy)
- [Policy, trade & tariffs](https://hardwarepodcasts.com/topic/policy-trade-and-tariffs)

## Most relevant to

early-stage companies

## Mentioned

- Georgetown University (company)
- Center for Security and Emerging Technology (company)
- Arm (company)
- Sophie (product)
- Silicon Labs (company)
- Matt Johnson (other)
- NIST (company)
- NTSB (company)

## Related episodes from other shows

- [The peril (and promise) of AI with Tristan Harris: Part 2](https://hardwarepodcasts.com/podcast/how-i-built-this/2024-02-29-the-peril-and-promise-of-ai-with-tristan-harris-part-2) (How I Built This)
- [421: Paint the Iceberg Yellow](https://hardwarepodcasts.com/podcast/embedded-fm/2022-07-21-421-paint-the-iceberg-yellow) (Embedded.fm)
- [514: Just Turn Off All the Computers](https://hardwarepodcasts.com/podcast/embedded-fm/2025-11-14-514-just-turn-off-all-the-computers) (Embedded.fm)
- [#464: Why LLM Unpredictability is a Liability in MedTech](https://hardwarepodcasts.com/podcast/global-medical-device-podcast/2026-07-13-464-why-llm-unpredictability-is-a-liability-in-medtech) (Global Medical Device Podcast)
- [437: Chirping With the Experts](https://hardwarepodcasts.com/podcast/embedded-fm/2022-12-08-437-chirping-with-the-experts) (Embedded.fm)

## Citing this page

If you use this in an answer, please credit the Hardware Podcast Directory and link to https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-24-building-a-framework-to-trust-ai. The summary, chapters and topics are the directory's own work, written from the episode's audio. The episode itself, its title and its audio belong to EE Times Current.