Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Artificial intelligence (2)
- Data (2)
- Industrial organization (2)
- Algorithms (1)
- Competition (1)
-
- Corporate governance (1)
- Data-sharing (1)
- Deindustrialization (1)
- Economic efficiency (1)
- Ethics (1)
- Global competition (1)
- Industry studies (1)
- Journal of Economic Literature (1)
- Ownership and control (1)
- Public policy (1)
- Startup (1)
- Tech (1)
- Technological change (1)
- Venture capital (1)
- Washington University Law Quarterly (1)
- Washington University Law Review (1)
Articles 1 - 4 of 4
Full-Text Articles in Law
The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Faculty Scholarship
Artificial intelligence (“AI”)-enabled products are expected to drive economic growth. Training data are important for firms developing AI-enabled products; without training data, firms cannot develop or refine their algorithms. This is particularly the case for AI startups developing new algorithms and products. However, there is no consensus in the literature on which aspects of training data are most important. Using unique survey data of AI startups, we find that startups with access to proprietary training data are more likely to acquire venture capital funding.
Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Faculty Scholarship
Artificial Intelligence startups use training data as direct inputs in product development. These firms must balance numerous trade-offs between ethical issues and data access without substantive guidance from regulators or existing judicial precedence. We survey these startups to determine what actions they have taken to address these ethical issues and the consequences of those actions. We find that 58% of these startups have established a set of AI principles. Startups with data-sharing relationships with high-technology firms; that were impacted by privacy regulations; or with prior (non-seed) funding from institutional investors are more likely to establish ethical AI principles. Lastly, startups …
Corporate Governance And Economic Efficiency: When Do Institutions Matter?, Ronald J. Gilson
Corporate Governance And Economic Efficiency: When Do Institutions Matter?, Ronald J. Gilson
Faculty Scholarship
Until the 1980s, corporate governance was largely the province of lawyers. It was a world of specific rules – more or less precise statutory requirements governing shareholder meetings, the election of directors, notice requirements and the like – that were essentially unrelated to what corporations actually do. From this perspective, the corporation's productive activity was simply a black box onto which standard governance structures were superimposed with little effect on what took place within. Corporate law was "trivial" or, as Bayless Manning so evocatively portrayed it, simply "great empty corporation statutes – towering skyscrapers of rusted girders internally welded together …
Manufacturing Matters: The Myth Of The Postindustrial Economy, Jagdish N. Bhagwati
Manufacturing Matters: The Myth Of The Postindustrial Economy, Jagdish N. Bhagwati
Faculty Scholarship
Messrs. Cohen and Zysman are political scientists. They are the resident gurus at BRIE (Berkeley Roundtable on International Economy). While they doubtless enjoy imported French cheese, especially with the Zinfandel from the local vineyards, they get the goose pimples watching movies on their Japanese VCRs. They are worried sick by America's alleged deindustrialization. This book is their effort to say why and to startle a complacement nation into an active policy to defend its industries.