Raw LLM Responses

Here's a policy memo I've been working on. Add your own bits and send it to your representatives. Dear sir/madam, In case you somehow aren’t aware, the job-seeking process is dehumanized. Companies are increasingly relying on automation and underfunded recruitment departments to prioritize speed over merit. This memo proposes policies that realign corporate incentives through targeted tax measures, minimum standards for candidate treatment, and funding for human-centric recruitment. My goal: restore dignity to job-seekers, ensure fair access to opportunities and improve the country’s workforce in the long-term. As stated, automation has replaced human judgment. Applicant Tracking Systems (ATS’s) filter candidates based on keywords, often preventing qualified applicants from even being seen. Recruitment departments are underfunded. Overloaded recruiters rely on the shortcuts that AI provides, eroding fairness and quality of hires. Candidate experience is poor. Many never hear back. Many receive no feedback. Most face long silences or “ghosting”. Executive incentives are misaligned. Companies prioritize short-term cost-cutting over investment in people, because compensation and tax structures reward them for doing so. These practices undermine public trust and perpetuate inequality, leading to high turnover and disengagement. The framework of my proposed policies is as follows: 1. Tax Reform to Realign Incentives: Institute progressive surtax on extreme executive pay. Bridge the gap between CEO compensation and median worker’s salaries. Offer tax credits for human-centric investments (additional recruiter staffing, interviewer training, and paid candidate assessments). 2. Minimum Standards for Candidate Treatment Every application must receive an initial review by a person, not solely by software. Candidates rejected after interview stages must receive brief and constructive feedback, at least. Employers must notify applicants of status within a defined period (thirty days). Extended assessments and multi-round interviews must be paid. 3. Public Reporting & Accountability Companies above a certain size threshold must publish annual reports of certain hiring metrics (% of applications reviewed by humans, average time-to-offer for candidates, offer acceptance and 12-month retention rates, workforce diversity outcomes). 4. Funding & Support Mechanisms Offer recruitment capacity grants for small and medium-sized businesses, enabling them to hire more recruiters and reduce dependence on automation. Instate centralized hiring hubs for sectors with high volume (healthcare, public service) to ensure fair, human-centric screening. A full and uncompromising enforcement of these policies will create fairer access to opportunity. More candidates would be considered on merits and qualifications. This would improve retention and reduce the cost of “churn”, restore public trust and ensure that job-seekers feel respected, even when rejected. Needless to say, investment in people over algorithms strengthens community resilience and economic stability. To whoever is reading this memo, I strongly suggest that you convene a group of labour leaders, HR professionals and policymakers to refine standards. Draft enabling legislation for tax incentives, reporting requirements and minimum hiring standards. Pilot these policies in a mid-sized public agency or state-funded employer to test feasibility and gather outcome data. It should go without saying that the current system of cutting corners and pandering to upper management isn’t fit for purpose. AI is arguably a Pandora’s Box that shouldn’t have been opened, and we court disaster if we let it judge people on behalf of people. A hiring process that respects a person’s dignity is not only possible, but necessary. By reforming tax incentives, properly funding recruitment departments and mandating basic standards of fairness, we can replace the broken, robotic job market with a process that values everyone.