Food delivery workers are calling on platforms to reveal how algorithms determine job assignments and wages, citing declining pay and deteriorating conditions linked to increased AI use.
Gig economy workers across multiple delivery platforms say opaque algorithmic systems are cutting their earnings without explanation. A group of Edinburgh-based riders has partnered with academics to investigate how these "black box" algorithms operate.
The workers argue that as platforms increasingly rely on AI for job allocation and pay determination, transparency has become critical. They claim rates have fallen and working conditions have worsened in tandem with algorithmic decision-making systems.
The push for algorithmic transparency represents a broader tension in the gig economy: platforms use complex AI systems to optimize operations, but workers lack visibility into how these systems affect their livelihoods. The collaboration with researchers aims to reverse-engineer the algorithms and understand their impact on compensation.
Delivery platforms typically defend algorithmic systems as efficiency tools that match workers with jobs and set dynamic pricing. However, critics argue the lack of transparency prevents workers from understanding or contesting unfavorable outcomes.
Politicians across the political spectrum are joining public opposition to Flock Safety's surveillance camera network, marking an unusual moment of consensus in a divided Congress.
Zscaler CEO Jay Chaudhry said artificial intelligence is creating increased demand for cybersecurity solutions rather than diminishing it. Executives worry that AI adoption could expose new vulnerabilities and increase breach risks.
Betaworks holds a 5.5% stake in Hugging Face valued at approximately $650 million following the AI startup's $11.9 billion valuation. The venture firm's early bet could yield even larger returns, with A.Capital potentially banking $1.5 billion on the transaction.
The United States and United Kingdom have signed a memorandum of understanding to investigate and share intelligence on organized crime networks operating online scam centers, primarily located in Southeast Asia.