Science and Technology Law Commons^™

The Promise And Perils Of Tech Whistleblowing, Hannah Bloch-Wehba

Faculty Scholarship

Whistleblowers and leakers wield significant influence in technology law and policy. On topics ranging from cybersecurity to free speech, tech whistleblowers spur congressional hearings, motivate the introduction of legislation, and animate critical press coverage of tech firms. But while scholars and policymakers have long called for transparency and accountability in the tech sector, they have overlooked the significance of individual disclosures by industry insiders—workers, employees, and volunteers—who leak information that firms would prefer to keep private.

This Article offers an account of the rise and influence of tech whistleblowing. Radical information asymmetries pervade tech law and policy. Firms exercise near-complete …

Automatic Reaction - What Happens To Workers At Firms That Automate?, James Bessen, Martin Goos, Anna Salomons, Wiljan Van Den Berge

Faculty Scholarship

We provide the first estimate of the impacts of automation on individual workers by combining Dutch micro-data with a direct measure of automation expenditures covering firms in all private non-financial industries over 2000-2016. Using an event study differences-indifferences design, we find that automation at the firm increases the probability of workers separating from their employers and decreases days worked, leading to a 5-year cumulative wage income loss of about 8% of one year’s earnings for incumbent workers. We find little change in wage rates. Further, lost wage earnings are only partially offset by various benefits systems and are disproportionately borne …

Automation And Jobs: When Technology Boosts Employment, James Bessen

Faculty Scholarship

Will new technologies cause industries to shed jobs, requiring novel policies to address mass unemployment? Sometimes productivity-enhancing technology increases industry employment instead. In manufacturing, jobs grew along with productivity for a century or more; only later did productivity gains bring declining employment. What changed? The elasticity of demand. Using data over two centuries for US textile, steel and auto industries, this paper shows that automation initially spurred job growth because demand was highly elastic. But demand later became satiated, leading to job losses. A simple model explains why this pattern might be common, suggesting that today's technologies may cause some …

Will Artificial Intelligence Eat The Law? The Rise Of Hybrid Social-Ordering Systems, Tim Wu

Faculty Scholarship

Software has partially or fully displaced many former human activities, such as catching speeders or flying airplanes, and proven itself able to surpass humans in certain contests, like Chess and Jeopardy. What are the prospects for the displacement of human courts as the centerpiece of legal decision-making? Based on the case study of hate speech control on major tech platforms, particularly on Twitter and Facebook, this Essay suggests displacement of human courts remains a distant prospect, but suggests that hybrid machine – human systems are the predictable future of legal adjudication, and that there lies some hope in that combination, …

Information Technology And Learning On-The-Job, James Bessen

Faculty Scholarship

Economists disagree how much technology raises demand for workers with pre-existing skills. But technology might affect wages another way: through skills learned on the job. Using instrumental variables on 9 panels of workers from 1989 to 2013, this paper estimates that workers who use information technology (IT) have wage growth that is about 2% greater than non-IT workers, all else equal, implying substantial learning. This effect persists over time, implying sustained productivity growth from IT. Also, it benefits workers both with and without college degrees. Because many more college-educated workers use IT, college wages grow faster, contributing to economic inequality.

How Computer Automation Affects Occupations: Technology, Jobs, And Skills, James Bessen

Faculty Scholarship

This paper investigates basic relationships between technology and occupations. Building a general occupational model, I look at detailed occupations since 1980 to explore whether computers are related to job losses or other sources of wage inequality. Occupations that use computers grow faster, not slower. This is true even for highly routine and mid-wage occupations. Estimates reject computers as a source of significant net technological unemployment or job polarization. But computerized occupations substitute for other occupations, shifting employment and requiring new skills. Because new skills are costly to learn, computer use is associated with substantially greater within-occupation wage inequality.

Zappers & Employment Tax Fraud, Richard Thompson Ainsworth

Faculty Scholarship

Beyond the grey area of worker misclassifications and general employment tax irregularities there are darker employment relationships where workers are intentionally paid in cash “off-the-books” or “under-the-table.” Grey employment relationships present civil enforcement issues that may become criminal; darker-relationships are criminal from the beginning. Zappers are found on the dark side.

Zappers are fraud-technologies that automatically (and remotely) skim cash from electronic cash registers (ECRs) or back room point of sales (POS) systems. Globally, tax auditors are finding that Zappers frequently provide the cash that is used to compensate “under-the-table” workers. In fact, a Zapper appears to be at the …

More Machines, Better Machines...Or Better Workers?, James Bessen

Faculty Scholarship

How much of the rapid growth in labor productivity in nineteenth century cotton weaving arose from capital-labor substitution and how much from technical change? Using an engineering production function and detailed information on inventions, I find that factor substitution accounts for little growth. However, much of the growth and most of the apparent labor-saving bias arose not from inventions, but from improved labor quality — better workers spent less time monitoring the looms. The inventions themselves were almost technically neutral because innovations in general purpose technologies were capital-saving. Labor quality played a critical role in the persistent association between economic …

Accounting For Productivity Growth When Technical Change Is Biased, James Bessen

Faculty Scholarship

Solow (1957) decomposed labor productivity growth into two components that are independent under Hicks neutrality: input growth and the residual, representing technical change. However, when technical change is Hicks biased, input growth is no longer independent of technical change, leading to ambiguous interpretation. Using Solow's model, I decompose output per worker into globally independent sources and show that technical bias directly contributes to labor productivity growth above what is captured in the Solow residual. This contribution is sometimes large, generating rates of total technical change that substantially exceed the Solow residual, prompting a reinterpretation of some well-known studies.