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Algorithmic Management and Workplace Surveillance
AI COACHING
New “smart AI coaching” systems harness artificial intelligence to help employers mold workers into better employees without having to lift a finger, marking the beginning of technologically managed training.
FIGHTING WORKPLACE SURVEILLANCE
Jamie Woodcock analyzes the way in which employers use digital surveillance to monitor workers and how employees can effectively fight back.
CRITIQUES OF AI
While AI can infinitely increase speed and efficiency, MIT Sloan Management Review evaluates what is lost when we let AI do our jobs.
HOSPITAL AI TRANSFORMATION
The discussion of hospital AI use is shifting from being focused exclusively on improving clinical decision making, to aiding in operational decision-making as well. By doing this, patient flow, staffing, scheduling, and supply chain management can be made significantly more effective.
[READ MORE] https://hbr.org/2022/01/how-digital-transformation-can-improve-hospitals-operational-decisions
MANAGEMENT PROPOSAL
The European Commission proposed rules that companies who rely on individually contracted worker, otherwise known as “gig” workers, would have to follow in order to demand that more caution be used when employing tools like algorithmic management and surveillance.
Luxury, Corruption, Global Ethics & Tech
BANK BIASES IN AI
While AI can be utilized by banks in anti-money laundering efforts, institutions must work to ascertain where bias can negatively affect outcomes and how they can manage AI’s shortcomings.
CZECH LUXURY SCANDAL
A document leak reveals that Czech Prime Minister, Andrej Babis, a man who demotes elitism and has dismissed accusations of fraud involvement and tax evasion, has shadily purchased an enormous chateau on the French Riviera.
[READ MORE] https://www.icij.org/investigations/pandora-papers/czech-prime-minister-andrej-babis-french-property/
US ANTI-CORRUPTION PROGRESS
The Biden administration has stated that anti-corruption is currently the US’s “core national security interest” and priority. Hopes of success within major policy initiatives, furthering of anti-bribery movements within the public sector, and the anti-money laundering act of 2020, urge advocates to keep fighting.
MONEY-LAUNDERERS CHARGED
Roger Ng is the first from the Malaysian money-laundering scandal to face a jury under charges of conspiracy to launder money and violate antibribery laws.
[READ MORE] https://www.wsj.com/articles/trial-for-former-goldman-sachs-banker-set-to-begin-11644840001
ART MARKET CORRUPTION
Despite Congress’s aggressive actions, a study commissioned by the Department of the Treasury concludes that the art market is not as big of a corruption and money-laundering concern relative to other areas as they thought.
Algorithmic Governance and Cultures of Policing
GEBRU CALLS FOR CHANGE
After an interaction with a police officer and a first-hand look at the ethical issues during her time working for Google, Timnit Gebru commenced the Distributed AI Research (DAIR), an initiative that hopes to find a way to make AI a safe and productive asset.
[READ MORE] https://time.com/6132399/timnit-gebru-ai-google/
FACIAL RECOGNITION CHALLENGED IN INDIA
India struggles with the implications of facial recognition technology as a lawsuit in Telangana, the Indian state with the most advanced facial recognition systems, unfolds.
[READ MORE] https://news.trust.org/item/20220120005654-ybwlm
ERIC ADAMS TECHNOLOGY PUSH
Eric Adams, the mayor of New York, fully embraces the use of technology in policing and controlling violence and crime, initiating an expansion of facial recognition and weapon scanning tools within the policing system.
NEW AI CURRICULUM
The University of Florida introduces a new curriculum that discusses ethical use of artificial intelligence across governmental, societal, and business sectors, beginning the surge of universities who are planning to implement this curriculum into their programs in the future.
ONTARIO CALLS FOR ACTION
Ontario works to draft policies to regulate the use of AI in the Police Department in order to prevent perpetuated biases, privacy invasion, and possible infringement of citizen’s rights.
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