---
title: Bridging Safety, AI, and Software Development
description: Join our free 3-part webinar series to explore AI integration, safety standards, and advanced software practices in the automotive industry. Register now!
image: https://www.lhpes.com/hubfs/LSS-Featured-Image-SRES-3-Part-On-Demand-Webinar-Series-01.1.png
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###### FREE 3-Part On-Demand Webinar Series!

# Bridging Safety, AI, and Advanced Software Development in Automotive

![LSS-Mockup-VP-SRES-3-Part-On-Demand-Webinar-Series-01.1](https://www.lhpes.com/hs-fs/hubfs/LSS-Mockup-VP-SRES-3-Part-On-Demand-Webinar-Series-01.1.png?width=1006&height=555&name=LSS-Mockup-VP-SRES-3-Part-On-Demand-Webinar-Series-01.1.png)

## Download this 3-Part Free On-Demand Webinar Series!

### Part 1:

### Navigating the Future: Emerging Trends in Automotive Software and Evolving Standards

Software engineers are at the forefront of integrating smart, connected, and autonomous technologies into modern vehicle systems. In an environment of intense competition and immense complexity, executives are pushing for faster time-to-market and tighter development budgets. Innovations such as open-source software, expanded cloud capabilities beyond software updates, and AI technologies hold significant promise for enhancing safety, system performance, and overall customer experience. However, when business goals are prioritized over thorough development practices, the consequences can be dire, potentially jeopardizing the lives of vehicle occupants and pedestrians alike. Join Steve Neemeh, CTO of LHP Engineering Solutions, and Jody Nelson, Managing Partner of SRES, in Part 1 of a 3-part series on AI & safety to learn about the ways engineers are using automation & partnerships to manage data & regulatory complexities and drive towards business goals in a safe and responsible way. In Part 1, Jody and Steve will discuss:

- The landscape of standards and regulation for AI, Open Source, & Cloud Technology
- The strain of speed and costs vs. safety
- Methods & use cases for reducing labor-intensive work required to comply with industry standards such as ISO 26262 and responsibly develop safety-critical systems

Preview of Part 1: 

### Part 2:

### AI Risk Management in Action: ISO/IEC 42001 and ISO/PAS Requirements for Safer Development

The EU Artificial Intelligence (AI) Act marks the first legal framework worldwide that regulates the development, use, and placement of AI systems in the European Union. This groundbreaking legislation compels organizations to step back and critically evaluate the risks associated with AI systems in their applications.

As industries increasingly integrate AI into their development processes, a key question arises: how can companies ensure the quality and reliability of AI systems? In response to this challenge, ISO/IEC 42001 was introduced in late 2023 as a standardized framework for AI management system. Building on established quality management standards such as IATF 16949 and ISO 9001, ISO/IEC 42001 provides guidance for managing data, mitigating ethical risks, and preventing unintended consequences that could impact businesses and stakeholders. It also aligns many of the objectives required by the EU AI Act for high-risk AI systems. In Part 2 of the AI & Safety series, Jody Nelson, Managing Partner of SRES, and Steve Neemeh, CTO of LHP Engineering Solutions, will walk through a real use of AI in safety-critical development, the use of AI to write requirements, and discuss how ISO/IEC 42001 and ISO/PAS 8800 could support quality and V&V of the output. The agenda will cover:

- The scope and intention of the EU AI Act for high-risk AI systems, ISO/IEC 42001, & ISO/PAS 8800
- LHP's AI requirements generation use case
- Integration of the practices of these standards into existing processes such as ISO 26262

Preview of Part 2:

### Part 3:

### Tying It All Together: A Roadmap for Advancing AI Development Practices

In Part 3 of the AI & Safety webinar series, Steve Neemeh, CTO of LHP Engineering Solutions, and Jody Nelson, Managing Partner of SRES, will bring together insights from Parts 1 & 2 to outline a clear roadmap for initiating and continuously improving AI development practices for both processes and products.

The final session will delve into key strategies for organizations, including:

- Implementing a dataset lifecycle to support AI governance
- Adopting continuous verification and validation (V&V) methods and building an ADS safety case according to the newly released ISO/TS 5083 standard
- Establishing smart infrastructure to support in-vehicle AI systems

Preview of Part 3:

## Meet the Presenters

## Steve Neemeh

#### Chief Technology Officer & President, at LHP

Steve joined LHP in 2015 to lead the expansion of the West Coast operations. He is the leader of the strategy and solutions architects as well as the president of the delivery consulting organization. Steve has over 25 years of Functional Safety experience before joining LHP. Steve has launched multiple start-up operations and has taken them to full production. Notably, a complete ground-up electronics and software development group to service commercial aerospace electronics and military vehicle power electronics. For LHP, Steve pioneered the implementation of safety-critical applications in California, launching functional safety for autonomous driving applications as well as air mobility.

![Steve-Neemah-800x800](https://www.lhpes.com/hubfs/Steve-Neemah-800x800.png)

## Jody Nelson   ![SRES_LOGO_HORIZONTAL](https://www.lhpes.com/hs-fs/hubfs/SRES_LOGO_HORIZONTAL.png?width=200&height=41&name=SRES_LOGO_HORIZONTAL.png)

#### Co-founder and Managing Partner at SecuRESafe

With over 20 years of expertise in automotive safety, Jody has made significant contributions in development, consulting, assessments, and audits. He approaches every project with the passion and dedication that he would for his own family and friends, ensuring the highest standards of safety.

Jody began his career at Daimler AG, where he worked in high voltage safety, EMC, software development, and functional safety. In 2010, he co-founded the successful functional safety and autonomy safety consulting company, kVA. At kVA, Jody had the pleasure of working with and training hundreds of OEM, supplier, and semiconductor customers.

In 2019, kVA was acquired by UL Solutions, where Jody became the managing director of the global assessment and certification team in functional safety, cybersecurity, and autonomy safety. His extensive experience as a developer, consultant, and assessor enables him to provide comprehensive support to clients.

 

![Jody-Nelson-Headshot-Circle-01.2](https://www.lhpes.com/hubfs/Jody-Nelson-Headshot-Circle-01.2.png)

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