This presentation highlights the importance of understanding culture, identity, bias, and their impacts in the workplace. Through courageous conversations and diversity training, participants learn to unpack implicit bias, combat bias, and develop teamwork skills. The session emphasizes staying enga

0 views • 19 slides

Delve into the realm of diversity, equity, and inclusion through an interactive workshop focused on understanding unconscious bias, reducing bias in a safe space, intentional application in clinical settings, and successful interactions with diverse colleagues and patients. Engage in thought-provoki

1 views • 29 slides

Recognizing bias in oneself and others is crucial when collecting evidence. Different types of bias, such as confirmation bias, can influence decisions and behaviors significantly. By exploring our own thinking and accessing curated resources to learn about bias, we can develop a deeper understandin

1 views • 14 slides

This study delves into gender bias evaluation in BERTi, a large language model trained on South Slavic data. It explores issues in language modeling, the impact of social biases in artificial intelligence, and training processes of Large Language Models (LLMs). Additionally, it discusses how LLMs le

11 views • 16 slides

In the workplace, hidden bias, also known as implicit bias, can significantly impact hiring, employment decisions, and overall workplace dynamics. Deloitte's 2019 State of Inclusion Survey revealed that a substantial percentage of workers experienced bias at least monthly. Hidden biases can be based

3 views • 18 slides

Explore the intricacies of bias and conflict of interest in investigations, learn how to identify and counteract them to ensure fairness in decision-making. Topics include understanding bias, detecting it, LGBTQ terminology, evidence collection, and remedial actions like recusal. Navigate the nuance

0 views • 21 slides

Overcoming Unconscious Bias in Talent Acquisition Process emphasizes the importance of addressing unconscious bias in hiring practices through awareness and control. The content delves into defining unconscious bias, its impact on diversity, examples, and strategies for managing bias. The University

0 views • 19 slides

Exploring the complexities of bias in legal settings, this content provides insights on identifying, addressing, and leveraging bias in litigation. From defining various forms of bias to strategies for cross-examination and case presentation, it equips legal professionals with practical knowledge to

0 views • 19 slides

This educational material covers the essentials of odds ratio and bias in case-control studies, including how to construct a 2x2 table, calculate odds ratio, define bias, and interpret results. A specific case study on pesticide exposure and cancer is presented to illustrate these concepts. Readers

2 views • 20 slides

Bias in epidemiological studies can arise from misclassification of observations and exposures, leading to incorrect associations between variables. Observation bias, misclassification bias, and non-differential misclassification can impact the accuracy of study results, either minimizing difference

1 views • 11 slides

In the world of electronics, diode junction biasing plays a crucial role. This article delves into the concepts of zero and forward bias conditions for diodes. When a diode is zero-biased, no external potential energy is applied, while in forward bias, a specific voltage is introduced to initiate cu

0 views • 21 slides

Data bias can distort your analytics and lead to misguided decisions. In this blog, learn how to identify common signs of data bias, understand its impacts, and explore effective strategies to correct it. Enhance the accuracy and reliability of your insights with practical tips and advanced tools, e

3 views • 8 slides

Obstacle avoidance in robotics has evolved from basic collision avoidance to autonomous path planning with the use of Lidar and ROS. This project involves mapping the environment using Lidar scans and implementing a path planning algorithm in Matlab to navigate around obstacles. By utilizing a Raspb

0 views • 15 slides

Delve into the origins, forms, and manifestations of bias in clinical and medical education settings. Learn strategies to mitigate and address bias through a detailed exploration of terms like System 1 and System 2 thinking, implicit bias, race/racism, sexism, microaggressions, and more. Gain insigh

6 views • 27 slides

Explore strategies for dealing with deadlocks, from detection and recovery to dynamic avoidance. Learn about deadlock avoidance methods like being conservative in resource granting and dive into safe and unsafe states, the Banker's algorithm, and the four conditions for deadlock. Discover how to pre

0 views • 15 slides

Transistor bias circuits play a crucial role in setting the DC operating point for proper linear amplification. A well-biased transistor ensures the signal variations at the input are accurately reproduced at the output without distortion. Various biasing methods such as Voltage-Divider Bias, Emitte

0 views • 7 slides

Reporting bias poses a significant threat to the accuracy of systematic reviews, with publication bias affecting up to 50% of trials. This bias distorts treatment effect estimates, leading to exaggerated outcomes. Strategies to mitigate reporting bias include searching bibliographical databases, exp

1 views • 17 slides

Transition bias and substitution models, explored by Xuhua Xia, delve into the concepts of transitions and transversions in genetic mutations, the causes of transition bias, the ubiquitous nature of transition bias in invertebrate and vertebrate genes, the mitochondrial genetic code, and RNA seconda

1 views • 25 slides

Research indicates that women are underrepresented among STEM faculty members, potentially due to bias in the search process. Studies show evidence of bias against women candidates in male-dominated fields like mechanical engineering, leading to lower hiring rates. Another study revealed bias in fac

0 views • 29 slides

Avoidance behavior involves negative reinforcement to increase the frequency of operant responses, not punishment. Different types of avoidance tests, such as discriminated avoidance and shuttle avoidance, are used to study negative reinforcement. The Two-Factor Theory of avoidance conditioning expl

0 views • 61 slides

The report discusses bias reporting at Concordia University, highlighting the importance of understanding and addressing bias-related incidents. It covers examples of bias, distinction between bias incidents and hate crimes, and strategies for response. Presenters from the Office of Multicultural En

0 views • 11 slides

This review discusses the General Anti-Avoidance Rules (GAARs) in Canada and South Africa, focusing on the criteria for identifying avoidance transactions and impermissible avoidance arrangements. The Canadian GAAR targets transactions seeking tax benefits, while the South African GAAR focuses on bu

0 views • 15 slides

The case study explores the incorporation of a business into a corporation to realize tax benefits, including tax deferral and lower rates. It raises questions on whether the transactions were primarily for tax avoidance purposes, highlighting the complexities of tax planning and the application of

0 views • 47 slides

DEBRA initiative aims to mitigate the tax-induced debt-equity bias in corporate investment decisions, reducing risks of insolvency and fostering competitiveness. By neutralizing the bias, it seeks to create a harmonized tax environment, promoting equity-based investments and combating tax avoidance

0 views • 9 slides

DEBRA is an EU proposal to address the bias towards debt financing over equity in corporate investment decisions by allowing deductibility of notional interest on equity. The initiative aims to create a level playing field, encourage equity-based investments, and combat tax avoidance practices. By h

0 views • 9 slides

Increased diversity in the healthcare workforce benefits health outcomes, but implicit bias can impact candidate selection in medical school admissions. This advocacy project aims to address implicit bias by developing training sessions for new members of the admissions committee at UNM SOM, focusin

0 views • 9 slides

Exploring the presence of bias in research, this compilation delves into various types of biases such as confirmation bias and fundamental attribution error. It also addresses the challenges of explaining behaviors rooted in biases and offers insights on reducing bias in the scientific process. Thro

0 views • 6 slides

Exploring the nuances between tax fraud and tax avoidance in the context of GST, this content delves into types of GST abuse, Division 165 anti-avoidance rule, scheme structures, and consequences of GST fraud. Learn about the implications of dishonest tax practices and lawful tax conduct in the real

0 views • 10 slides

The Action 7 Report aims to prevent artificial avoidance of Permanent Establishment (PE) status by making changes to the PE definition in the OECD Model Tax Convention. BEPS refers to tax planning strategies exploiting tax rule gaps to shift profits to low-tax locations. The OECD issued 15 action pl

0 views • 10 slides

Avoidance coping is described as a maladaptive way of dealing with stress by avoiding the source of discomfort. In contrast, active coping involves addressing stressors directly through cognitive or behavioral strategies. Avoidance coping can lead to increased stress and conflict in relationships, w

0 views • 11 slides

This study delves into allelic bias in personal genomes, examining the influence of various factors such as sequencing datasets, removal of reads with allelic bias, and the impact on allele-specific single nucleotide variants (AS SNVs). The revised AlleleDB pipeline proposed includes steps for const

0 views • 6 slides

A Traffic Collision Avoidance System (TCAS) is a vital aircraft collision avoidance technology that helps reduce mid-air collisions by monitoring the airspace around an aircraft. TCAS operates independently of ground-based equipment and advises pilots on potential conflicting aircraft. Mandated by t

0 views • 13 slides

Exploring the concepts of bias and variance in machine learning through informative visuals and explanations. Discover how model space, restricting models, and the impact of bias and variance affect the performance of machine learning algorithms. Formalize bias and variance using mean squared error

0 views • 21 slides

Learn how to set up and program a micro:bit robot for ultrasonic obstacle avoidance. Follow the step-by-step guide to prepare hardware, connect the micro:bit to the computer, search for programming blocks, and test the ultrasonic sensor. Children can understand the concepts and experiment with obsta

0 views • 10 slides

Transform faculty training on bias at the University of Utah through engaging slides designed to raise awareness, combat implicit bias, and promote inclusivity. Empower educators to recognize and address bias in their teaching practices for a more equitable learning environment.

0 views • 21 slides

Machine learning models rely on inductive bias, which are the assumptions made by algorithms to generalize from training data to unseen instances. Occam's Razor is a common example of inductive bias, favoring simpler hypotheses over complex ones. This bias helps algorithms make predictions and handl

0 views • 20 slides

Explore the concept of implicit bias through discussions about prior knowledge, feelings pre and post taking implicit association tests, and how this awareness can be applied beneficially in personal and classroom settings. Definitions of implicit bias, stereotypes, prejudice, and discrimination are

0 views • 21 slides

Cost overruns in projects can be attributed to systematic bias, like optimism bias and strategic misrepresentation, or selection bias where projects with low estimated costs are more likely to be selected leading to underestimation. Mitigating these biases is crucial for accurate project budgeting a

0 views • 21 slides

Experimenter bias occurs when researchers introduce their own biases into an experiment, potentially impacting the outcome. This bias can manifest in various ways, such as manipulating results or selecting participants who confirm preconceived notions. Through examples in studies about toddler sleep

0 views • 9 slides

The project, mentored by Jason Cho and advised by Professor Eric Meyer, focuses on automatic bias detection in newspaper articles. It involves recognizing similar article topics and detecting bias using tools like OpenNLP and Python NLTK. The endeavor aims to uncover words correlated with bias and a

0 views • 5 slides