A Review of Design Defects and Product Liability of AI Networks

2021 ◽  
Vol 9 (4) ◽  
pp. 189-232
Author(s):  
Kyung-Sub Yoon
Global Jurist ◽  
2011 ◽  
Vol 11 (2) ◽  
Author(s):  
Eleonora Rajneri

The European directive on product liability defines as defective a product that “does not provide the safety which a person is entitled to expect.” In the last years, European national courts have given a number of diverse interpretations of such a broadly and ambiguous defined provision. For an analytical comparison among court decisions, I suggest to distinguish between (1) risk of damages that were foreseeable and avoidable at the time when the product was put into circulation, (2) risk of damages that were unforeseeable and unavoidable, and (3) risk of damages that were statistically foreseeable yet unavoidable.As regards the first category, the Italian Corte di Cassazione has pointed out that the legal provision implies a comparison between the conduct of the victim and that of the producer in order to assess which one of two was in the best position to avoid this risk of damage. Therefore, the mechanism of apportionment of the risk is not different from the one implied by a fault liability rule. It is interesting to note that the third American Restatement on torts does not make any reference to the user’s behavior in its black letter on product defectiveness. The analysis shows how this different approach impacts on judicial decision-making.With respect to the second category, the development risk defense clause (expressly provided for by the directive) produces the effect of leaving the victim uncompensated, despite the fact that the European lawmaker has declared his intention to place a liability without fault upon the producer.The problem arises with the third category, because the directive has not envisaged a specific rule for those damages that were statistically foreseeable yet unavoidable, such as the manufacturing defects. On the contrary, Italian law makes explicit that a product “is defective if it does not provide the safety normally provided by other products in the same series.” Under this rule (that is one of the application of a more broad doctrine on business risk), the producer is deemed strictly liable for those damages that, even though unavoidable, were manageable as quantifiable in advance. The question is whether this doctrine could be applied also to those design defects actually foreseen by the producer. Following the business risk doctrine, the producer should be held strictly liable as he had accepted the risk in full awareness, having taken it into account in his cost/benefit analysis. However, according to those European courts that do apply the risk/utility test (such as the German courts), the producer is insulated from liability if the cost of an alternative design overweighed the foreseeable risk of damage.


Author(s):  
Michael Lang

Statistical modeling lies at the heart of product design and development throughout numerous engineering disciplines, especially since processing large amounts of data has become increasingly ubiquitous. While mathematical statistics provide elegant guidance pertaining to the question of whether or not some particular underlying modeling assumptions are justified and appropriate, when pursuing a more comprehensive assessment of product design and development other considerations often increase in significance. Therefore, we will examine and analyze the tedious interactions and implications of statistical modeling choices and product liability exposure. To the best of our knowledge, this paper is the first to draw attention to and explore some often overlooked or oversimplified dangers and pitfalls that enter the equation when product design heavily relies on statistical modeling. In particular, through a diligent analysis of both statistical and legal aspects we will explore how statistically optimal procedures may yield far from optimal outcomes in terms of product liability when applied to actual real life problems and why suboptimal nonparametric or robust approaches may constitute better alternatives.


2011 ◽  
Vol 49 (1) ◽  
pp. 79 ◽  
Author(s):  
Jennifer A. Chandler ◽  
Katherine Levitt

This article discusses whether and when a private provider of spatial data may be liable to pay for damages resulting from physical injury that occurs due to reliance on erroneous spatial data. The existing case law supports the view that some courts will approach harm due to errors in spatial datasets that give rise to physical harm using principles applicable to defective products, while others regard these errors as negligent misrepresentation. This article analyzes the duty to warn and spatial data in two parts. First, it provides an overview of the general problem of spatial data quality and its growing importance in light of internet dissemination to the public. Second, it sketches out the basic rules in the three main subdivisions of Canadian product liability law (manufacturing defects, design defects, and failures to warn of risks associated with products) and applies them to the context of broadly disseminated spatial data.


1989 ◽  
Vol 26 (04) ◽  
pp. 308-315
Author(s):  
David G. Davies

United States law imposes potential liability on sellers and manufacturers of maritime products that prove to be defective in design or production. The degree of their vulnerability depends on the nature of the damage that results from the defect and their legal relationship with the person who suffers the damage. When the defect results in death or bodily injury, the potentially liable party cannot act be-forehand to limit the persons to whom he is liable or the amount of his liability. Common issues in such cases are causation, often based on expert testimony or government reports, hindsight determination of design defects or failures to warn adequately of unavoidable hazards, and foreseeable human errors. If damages are "economic," however, the seller's or manufacturer's liability may be limited to those with whom he had contracted directly, and the contract can further limit the amount of liability to those persons and the methods by which they can enforce what rights they have.


2019 ◽  
Vol 2019 ◽  
pp. 52-72
Author(s):  
Emily Frascaroli ◽  
John Isaac Southerland ◽  
Elizabeth Davis ◽  
Woods Parker

Although highly automated vehicles (“HAVs”) have potential to reduce deaths and injuries from traffic crashes, product liability litigation for design defects in vehicles incorporating autonomous technology is inevitable. During the early stages of implementation, courts and juries will be forced to grapple with the application of traditional product liability principles to a never before experienced category of highly technical products. Recent decisions limiting the use of the consumer expectations test in cases involving complex products prompted the authors to examine more closely the history behind and the future viability of the consumer expectations test in HAV litigation.


Author(s):  
Jessica Flanigan

Though rights of self-medication needn’t change medical decision-making for most patients, rights of self-medication have the potential to transform other aspects of healthcare as it is currently practiced. For example, if public officials respected patient’s authority to make medical decisions without authorization from a regulator or a physician, then they should also respect patient’s authority to choose to use unauthorized medical devices and medical providers. And many of the same reasons in favor of rights of self-medication and against prohibitive regulations are also reasons to support patient’s rights to access information about pharmaceuticals, including pharmaceutical advertisements. Rights of self-medication may also call for revisions to existing standards of product liability and prompt officials to rethink justifications for the public provision of healthcare.


Sign in / Sign up

Export Citation Format

Share Document