Slide 24: This is a Stacked Bar Chart to present product/entity comparison, specifications etc. Rather than broaden the scope of existing regulations or create rules in anticipation of potential harms, a sandbox allows for innovation both in technology and its regulation.. Algorithms: A Quest for Absolute Definitions. As outlined in the paper, these types of algorithms should be concerning if there is not a process in place that incorporates technical diligence, fairness, and equity from design to execution. Conversely, operators who create and deploy algorithms that generate fairer outcomes should also be recognized by policymakers and consumers who will trust them more for their practices. Angwin, Julia, Jeff Larson, Surya Mattu, and Laura Kirchner. SZENSEI'S SUBMISSIONS: This page shows a list of stories and/or poems, that this author has published on Literotica. For that reason, while an algorithm such as COMPAS may be a useful tool, it cannot substitute for the decision-making that lies within the discretion of the human arbiter.41 We believe that subjecting the algorithm to rigorous testing can challenge the different definitions of fairness, a useful exercise among companies and other operators of algorithms. Slide 8: This slide puts forth the SWOT Analysis comprising of- Threats, Strengths, Weaknesses, Opportunities. Create Desire Within the Care Team, Step 8. Understanding the various causes of biases is the first step in the adoption of effective algorithmic hygiene. You can change it as per your needs. You can view it, SlideTeam added 757 new products (e.g. Stakeholder responsibilities can also extend to civil society organizations who can add value in the conversation on the algorithms design. And third, the AIA process looks to federal and other entities to support users right to challenge algorithmic decisions that feel unfair. You can view it, SlideTeam has published a new blog titled "Top 10 Data Strategy Roadmap Templates with Samples and Examples". We present you our creatively crafted 10 minutes PowerPoint presentation about myself. unsubscribe. Unintended Consequences of Geographic Targeting. Technology Science, September 1, 2015. Hadhazy, Adam. Blog & Podcast About Systemizing & Scaling Your Business. Available at, Stack, Liam. While it is intuitively appealing to think that an algorithm can be blind to sensitive attributes, this is not always the case.. Below are lists of the top 10 contributors to committees that have raised at least $1,000,000 and are primarily formed to support or oppose a state ballot measure or a candidate for state office in the November 2022 general election. These historical realities often find their way into the algorithms development and execution, and they are exacerbated by the lack of diversity which exists within the computer and data science fields.20. It is a universal healthcare system as well. Rather than broaden the scope of existing regulations or create rules in anticipation of potential harms, a sandbox allows for innovation both in technology and its regulation. Slide 7: This slide shows the Path to Career in terms of years. Whats the feedback loop for the algorithm for developers, internal partners and customers? Barocas and Selbst point out that bias can creep in during all phases of a project, whether by specifying the problem to be solved in ways that affect classes differently, failing to recognize or address statistical biases, reproducing past prejudice, or considering an insufficiently rich set of factors.19 Roundtable participants focused especially on bias stemming from flaws in the data used to train the algorithms. State company mission and vision here. Slide 4: This is also an About Me slide consisting of Personal Profile, Education, Achievements, Work Experience, Contact Info, Hobbies, Skills & Languages. Thus, it is important for algorithm designers and operators to watch for such potential negative feedback loops that cause an algorithm to become increasingly biased over time. What is fundamentally behind these fairness and accuracy trade-offs should be discussions around ethical frameworks and potential guardrails for machine learning tasks and systems. Finally, we propose additional solutions focused on algorithmic literacy among users and formal feedback mechanisms to civil society groups. Slide 48: This is a Timeline slide to show growth, milestones, highlighting factors etc. Feedback from users can share and anticipate areas where bias can manifest in existing and future algorithms. In line with the previous discussion on the use of certain protected attributes, safe harbors could be considered in instances where the collection of sensitive personal information is used for the specific purposes of bias detection and mitigation. Available at. All our content is 100% compatible with Google Slides. Thus, some principles need to be established for which error rates should be equalized in which situations in order to be fair. Easelly's design tool lets you visualize any kind of information. You fill in the order form with your basic requirements for a paper: your academic level, paper type and format, the number Available at, COMPAS is a risk-and needs-assessment tool originally designed by Northpointe, Inc., to assist state corrections officials in making placement, management, and treatment decisions for offenders. If historical biases are factored into the model, it will make the same kinds of wrong judgments that people do. Northpointe, the company that developed the COMPAS algorithm, refutes claims of racial discrimination. here. Available at, Alexandra Chouldechova et al., A Case Study of Algorithm-Assisted Decision Making in Child Maltreatment Hotline Screening Decisions,. Solon Barocas and Andrew D. Selbst, Big Datas Disparate Impact, SSRN Scholarly Paper (Rochester, NY: Social Science Research Network, 2016), https://papers.ssrn.com/abstract=2477899. They really go out of their way for you, and even created a free graphic for me. Available at, Sweeney, Latanya and Jinyan Zang. This notion of disparate impact has been legally tested dating back to the 1971 U.S. Supreme Court decision, Griggs v. Duke Power Company where the defendant was found to be using intelligence test scores and high school diplomas as factors to hire more white applicants over people of color. Now is a pivotal time for the workplace and workforce as critical issues affecting society impact work. slide. You can similarly convert our content to any other desired screen aspect ratio. Hello, and welcome to Protocol Entertainment, your guide to the business of the gaming and media industries. Display a good head for business with our 10 Minutes Presentation About Myself Powerpoint Presentation Slides. Amazon Doesnt Consider the Race of Its Customers. Stack, Liam. Slide 14: This slide displays Achievements. Available at https://www.popsci.com/recidivism-algorithm-random-bias (last accessed October 15, 2018). The platform is awesome and has a soft learning curve. They easily discern fundamental facts. Well send you a myFT Daily Digest email rounding up the latest Lyft Inc news every morning. Slide 56: This is a Circular image slide to show information, specifications etc. We suggest that this question is one among many that the creators and operators of algorithms should consider in the design, execution, and evaluation of algorithms, which are described in the following mitigation proposals. Slide 64: This is a Magnifying Glass slide with creative imagery to show specifications, information. Lopez, German. If the learned associations of these algorithms were used as part of a search-engine ranking algorithm or to generate word suggestions as part of an auto-complete tool, it could have a cumulative effect of reinforcing racial and gender biases. As a best practice, operators of algorithms should brainstorm a core set of initial assumptions about the algorithms purpose prior to its development and execution. Want software to document Procedures, Processes or Policies for your organization? here. Companies [should] engage civil society, shared Miranda Bogen from Upturn. Historical human biases are shaped by pervasive and often deeply embedded prejudices against certain groups, which can lead to their reproduction and amplification in computer models. These PPT Slides are compatible with Google Slides, Want Changes to This PPT Slide? Today, my administration is County officials also sought additional independent research from experts to determine if the software was discriminating against certain groups. You can add your quote here to convey company messages, beliefs etc. A network of hospitals, clinics, and dispensaries provide treatment to the population, with the Social Security system funding health services, although many people must still cover part of their costs due to the rates paid by the Social Security system unchanged since 1987. That means the impact could spread far beyond the agencys payday lending rule. Injection moulding (U.S. spelling: injection molding) is a manufacturing process for producing parts by injecting molten material into a mould, or mold.Injection moulding can be performed with a host of materials mainly including metals (for which the process is called die-casting), glasses, elastomers, confections, and most commonly thermoplastic and thermosetting polymers. 252-260. Activities supported by its donors reflect this commitment. While it is intuitively appealing to think that an algorithm can be blind to sensitive attributes, this is not always the case.24 Critics have pointed out that an algorithm may classify information based on online proxies for the sensitive attributes, yielding a bias against a group even without making decisions directly based on ones membership in that group. Journal of Information, Communication and Ethics in Society 2018, Vol. Slide 13: This slide comprises of the Professional Qualifications with a detailed description about Qualifications. You can present kpis, metrics etc. State company/team specifications etc. Design amazing graphics that simply and concisely convey your idea. These problematic outcomes should lead to further discussion and awareness of how algorithms work in the handling of sensitive information, and the trade-offs around fairness and accuracy in the models. Once the idea for an algorithm has been vetted against nondiscrimination laws, we suggest that operators of algorithms develop a bias impact statement, which we offer as a template of questions that can be flexibly applied to guide them through the design, implementation, and monitoring phases. Business. PPTs have 100% compatibility with Google Slides. PPTs have 100% compatibility with Google Slides. In both the public and private sector, those that stand to lose the most from biased decision-making can also play an active role in spotting it. The Appropriate Use of Antipsychotic (AUA) Toolkit and accompanying resources, provides individuals, families, clinicians and care teams with guidance regarding the assessment and management of responsive behaviours associated with cognitive impairment (dementia, delirium) and appropriate use of medications in older adults. We conclude by highlighting the importance of proactively tackling the responsible and ethical use of machine learning and other automated decision-making tools. Turner Lee, Nicol. PHSchool.com was retired due to Adobes decision to stop supporting Flash in 2020. Use Easelly to visually convey your idea , business and data, Trusted by 6 million people, 1000's of Agencies and 100's of Sign Shops. Locklear, Mallory. Fairness is a human, not a mathematical, determination, grounded in shared ethical beliefs. Thus, algorithmic decisions that may have a serious consequence for people will require human involvement. Why Address Antipsychotic use in Your Facility? Algorithmic Decision Making and the Cost of Fairness. ArXiv:1701.08230 [Cs, Stat], January 27, 2017. As a result, the AI software penalized any resume that contained the word womens in the text and downgraded the resumes of women who attended womens colleges, resulting in gender bias.10. Adding inclusivity into the algorithms design can potentially vet the cultural inclusivity and sensitivity of the algorithms for various groups and help companies avoid what can be litigious and embarrassing algorithmic outcomes. State Your company name and get started. Build Awareness Within the Facility or Unit, Step 7. Insomnia and anxiety in older people: Sleeping pills are usually not the best solution, Sleep and Responsive Behaviours Action Plan, Sleep and Responsive Behaviours tracking tool, Terra Nova Films, film and inservice previews, Bringing Person-Centred Dementia Care to Life, Meeting the Needs of People Living with Dementia in Albertas Residential Living Options: Ensuring Person-Centred Care, Canadian Dementia Resources and Knowledge Exchange, Registered Nurses Association of Ontario: Long-Term Care Best Practices Toolkit, 2nd edition, Promoting Mobility, Reducing Falls and Alarms, State Government of Victoria, Australia, Department of Health, National Center for Biotechnology Information, Tablet Applications for reminiscing, sharing music and memories, Responsive Behaviours and Sleep presentation, 5. Its Actually Not That Clear. Washington Post (blog), October 17, 2016. Their decision relied upon the following factors: whether a particular zip code had a sufficient number of Prime members, was near a warehouse, and had sufficient people willing to deliver to that zip code.28 While these factors corresponded with the companys profitability model, they resulted in the exclusion of poor, predominantly African-American neighborhoods, transforming these data points into proxies for racial classification. People will continue to play a role in identifying and correcting biased outcomes long after an algorithm is developed, tested, and launched. The COMPAS (Correctional Offender Management Profiling for Alternative Sanctions) algorithm, which is used by judges to predict whether defendants should be detained or released on bail pending trial, was found to be biased against African-Americans, according to a report from ProPublica.17 The algorithm assigns a risk score to a defendants likelihood to commit a future offense, relying on the voluminous data available on arrest records, defendant demographics, and other variables. Reviewing established legal protections around fair housing, employment, credit, criminal justice, and health care should serve as a starting point for determining which decisions need to be viewed with special caution in designing and testing any algorithm used to predict outcomes or make important eligibility decisions about access to a benefit. Widespread algorithmic literacy is crucial for mitigating bias. Reinforce Change within your Unit, Facility and Organization, Antimicrobial Stewardship in Long Term Care Facilities, Nutrition Guideline Seniors Health Overview, Vancouver Island Health Authority (VIHA) Delirium Resources, American Geriatrics Society 2016 Updated Beers Criteria for Potentially Inappropriate Medication Use in Older Adults, Dementia: Bringing Evidence and Experience to Drug Therapy Decision Points, Delirium: Information for Patients and Families. Discrimination in online ad delivery. Rochester, NY: Social Science Research Network, January 28, 2013. Their principles interpret fairness through the lenses of equal access, inclusive design processes, and equal treatment. Your email address will not be published. Brookings recognizes that the value it provides is in its absolute commitment to quality, independence, and impact.
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