Bias Sample Clauses
The Bias clause is designed to address and manage any potential partiality or favoritism in the interpretation or application of a contract. It typically requires that all parties act impartially and that no party receives preferential treatment, whether in decision-making, dispute resolution, or the execution of contractual obligations. By establishing a standard of neutrality, the clause helps ensure fairness and equal treatment, thereby reducing the risk of disputes arising from perceived or actual bias.
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Bias. In appointing an arbitrator, the rules of natural justice, such as those applying to bias, shall be adhered to. Bias includes, but is not limited to, selection of an arbitrator who has been involved in an attempt to negotiate or settle the grievance in question, or acted as a member of a panel or committee that has been involved in the case at any level.
Bias. The recipient must ensure that competitions are not biased in favor of one offeror over another. For instance, the recipient, an employee, officer or agent of the recipient, or any member of an employee’s immediate family must not receive an award, or have a financial or other interest in the individual or firm selected for an award. The officers, employees, and agents of the recipient must neither solicit nor accept gratuities, favors, or anything of monetary value from contractors or parties to subawards. In addition, a contractor that develops or drafts specifications, requirements, statements of work, invitations for bids, and/or requests for proposals must be excluded from competing for such procurements.
Bias. 2.1 The Referee confirms that he or she has disclosed, and shall disclose in the future, any facts or circumstances that may give rise to a reasonable apprehension of bias by the City or the Contractor.
Bias. The impact of observer bias in analyses of control groups must be another factor of concern when performing such combined analyses. Study authors have noted that households within intervention groups may overstate their compliance with a particular water quality intervention (▇▇▇▇ et al. 2008; ▇▇▇▇ et al. 2010). This effect may also hold importance for analyses on control groups (Hróbjartsson et al 2012). If there are frequent or even just repeated observations on control groups, they are more likely to, over time, report survey responses (and associated outcomes of interest) to please the survey staff. Although some studies have taken steps to minimize this potential bias, it is still a potentially pervasive and easily prominent force in self-reported outcomes.
Bias. If the information is processed out of biased data, it will have a bias. The procedure of communicating the information should be such that the system is able to detect the degree and nature of bias and correct the information accordingly. The information, which is corrected from any biases, is of high quality.
