In a recent blog post, Seegrid’s CEO, Jim Rock, discussed how the new federal guidelines for driverless autonomous vehicles will impact innovation. The guidelines afford a glimpse into the future by clarifying the scope of what will be allowed and what won’t. Those working in the autonomous space (tech companies, suppliers, automotive companies) see the range of feasibility with regards to the federal guidelines. Some of the guidelines will be a challenge to implement; of the fifteen points on the Federal guidelines safety checklist, below are the highlights ranging from most feasible to I’ll-believe-it-when-I-see-it:
- Those checkpoints that focus on making the autonomous systems safe are the no-brainers. These are the guidelines consumers want and need when it comes to driverless vehicles.
- The guidelines regulating data sharing may be difficult to enforce, considering developers may try to limit the information collected, but this open disclosure could help create a more open community of researchers, driving innovation via shared insight.
- Then there are guidelines that are less feasible (at least for now). The points on the federal checklist calling for full disclosure of AI systems with regards to decision making: they haven’t been developed (yet).
Rock added, “We predict that the same scenario will play out when it comes to regulations for driverless automobiles. The regulations passed down by the Department of Transportation are a clarion call for the driverless industry. Regulations from the top down aim to ensure safety and not prohibit innovation. Those hoping to lead us into the future have a right to be skeptical of restrictions. But the burden of proof is on developers. Just as regulations adjusted over time within the manufacturing industry so, too, will they develop, evolve and hopefully improve the relationship between automated robot and the humans that create them.”
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