Search for: "Ifeoma Ajunwa"
Results 1 - 20
of 23
Sort by Relevance
|
Sort by Date
8 Dec 2023, 5:55 am
Justin Hendrix The Quantified Worker: Law and Technology in Modern Workplace by Ifeoma Ajunwa. [read post]
18 Jul 2023, 7:12 am
The American Law Institute has announced (here) the election of new members, including these professors at U.S. law schools: Ifeoma Ajunwa, University of North Carolina School of Law Kevin L. [read post]
29 May 2023, 9:05 pm
Biased employment systems like the one that Amazon tried are on the rise in the wake of increased use of hiring algorithms, according to Ifeoma Ajunwa of the University of North Carolina School of Law. [read post]
13 Mar 2023, 10:00 pm
Likewise, over the past eight years, leading scholars in the field (including Pauline Kim, Andrew Selbst, Ifeoma Ajunwa, Matthew Bodie, and many more) have evolved from sounding the warning cry about algorithmic discrimination to helping to build an action plan to correct it, offering legal parameters for improvement, like affirmatively considering status characteristics and developing law and procedures for better monitoring, accountability, and… [read post]
2 Dec 2022, 6:00 am
Ifeoma Ajunwa writes, “The Silicon Valley mantra of ‘move fast and break things’ forcefully asserts that technological innovation does not have to play by the rules. [read post]
3 Nov 2022, 9:05 pm
In an article in the Harvard Journal of Law & Technology, Ifeoma Ajunwa, a professor at the University of North Carolina School of Law, argued that regulators should require employers to perform routine audits of the algorithms that they use to process and review job applications. [read post]
12 May 2022, 3:30 am
Ifeoma Ajunwa One prevailing feature of technological development is that it is not sui generis. [read post]
10 Sep 2021, 9:03 pm
Regulating algorithmic hiring practices will help move society closer to the national ideal of equal opportunity in spaces of employment, explains Ifeoma Ajunwa of University of North Carolina School of Law in an article for the Harvard Journal of Law & Technology. [read post]
29 Jul 2021, 6:22 pm
“Whether it’s our personal grooming routines, travel routines, they are getting very attuned to what we’re doing on a daily basis,” said Ifeoma Ajunwa, who studies artificial intelligence and workplace surveillance as a law professor at the University of North Carolina…” [read post]
9 Jul 2021, 3:30 am
Ifeoma Ajunwa Privacy law scholars have long contended with the retort, “what’s the harm? [read post]
17 Mar 2021, 3:30 am
J. 803 (2020).Ifeoma Ajunwa, Race, Labor, and the Future of Work, The Oxford Handbook of Race and Law, (Emily S. [read post]
3 Dec 2020, 11:56 am
Ifeoma Ajunwa (my soon-to-be new colleague!) [read post]
9 Oct 2019, 5:16 am
Ifeoma Ajunwa (Cornell I.L.R.) published an op-ed in yesterday's New York Times about the discriminatory use of algorithms in the hiring process. [read post]
27 Sep 2018, 9:30 pm
But in a recent paper, scholars Ifeoma Ajunwa, Kate Crawford, and Jason Schultz argue that Congress needs to act to protect worker privacy. [read post]
10 Nov 2017, 3:30 am
Ifeoma Ajunwa, Kate Crawford & Jason Schultz, Limitless Worker Surveillance, 105 Cal. [read post]
1 Jun 2017, 10:32 am
As I mentioned before, I helped organize a series of essays at The Atlantic addressing the question: “Is technology hurting our democracy, and can it help save it? [read post]
11 May 2017, 10:40 am
In this talk Berkman Klein fellow Ifeoma Ajunwa looks at how the law and private firms respond to job applicants or employees perceived as “risky,” and the organizational behavior in pursuit of risk reduction by private firms, as well as ethical issues arising from how firms off-set risk to employees. [read post]
18 Oct 2016, 7:50 am
Ifeoma Ajunwa, a Fellow at the Berkman Klein Center at Harvard University and Assistant Professor of Law at University of the District of Columbia School of Law, said that “absent careful safeguards, demographic, sensitive health or genetic information is at risk for being incorporated in the Big Data analytics technologies that employers are beginning to use. [read post]
25 Jun 2015, 6:54 am
Microsoft Research PhD Interns Ifeoma Ajunwa, Stacy Blasiola, Nathan Matias, and Aleena Chia present their current research on corporations and the quantified self; the Facebook newsfeed algorithm; how sites like Reddit and Wikipedia are made accountable to their users and the public; and the participatory politics of online gaming. [read post]
25 Jun 2015, 6:52 am
Microsoft Research PhD Interns Ifeoma Ajunwa, Stacy Blasiola, Nathan Matias, and Aleena Chia present their current research on corporations and the quantified self; the Facebook newsfeed algorithm; how sites like Reddit and Wikipedia are made accountable to their users and the public; and the participatory politics of online gaming. [read post]
