Microsoft Word - FIT XXXXXXXXXXAssignment 4 Ethical Framework Review v2.docx FACULTY OF INFORMATION TECHNOLOGY 2020 1 FIT5205 DATA IN SOCIETY ASSIGNMENT 4: CRITICAL REVIEW OF AN EMERGING ETHICAL AI...

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https://datapractices.org/manifesto/This is the case study for the assignment, i will provide you with the lecture notes and more relatable sources


Microsoft Word - FIT5205 2020 Assignment 4 Ethical Framework Review v2.docx   FACULTY OF  INFORMATION  TECHNOLOGY    2020  1  FIT5205 DATA IN SOCIETY  ASSIGNMENT 4: CRITICAL REVIEW OF AN EMERGING ETHICAL AI  FRAMEWORK    Your task    You will be assigned an emerging Ethical AI framework to investigate  and critically review. You will be required to:     Describe and explain its content, context and stakeholders   Identify and discuss its ethical stance (demonstrating your  ability to apply the Beard & Longstaff  ethical design  framework)   Canvas and discuss its governance  o How would individuals and organisations demonstrate  that they are acting in accordance with the framework?   o How would individuals and organisations be held to  account with the framework?   o What regulatory structures and bodies are required?   A summary of its strengths and limitations    Value  30% of your total marks for the unit.    Word Limit    2,000 ‐ 2,500 words (excluding references)  Due Date  Week 14: Friday 26 June 2020, 11.55pm    Submission  Via Moodle Assignment Submission.   Turnitin will be used for similarity checking of all submissions.     Assessment  Criteria   Ability to undertake the necessary research and analysis, write  with clarity and cohesion, cite and reference as required.   Ability to describe and explain the framework's content, context  and stakeholders.   Ability to identify and discuss its ethical stance.   Ability to canvas and discuss its governance.   Ability to come to a consistent conclusion regarding its strengths  and limitations.      2020  2    REVIEW REQUIREMENTS  Your review will be written in the form of a report and should include:     An Executive Summary   A Table of Contents    An introduction indicating the aim, focus, and structure of the report   An explanation of the content, context and stakeholders associated with the  Ethical AI Framework   A discussion of the Framework’s ethical stance.   A discussion of the Framework’s governance   A conclusion summarising its strengths and limitations   In‐text citations and a reference list to the evidence base of your report using the  APA style of citing and referencing.   Report formatting requirements – 10‐12 point font, margins not less than 2  centimetres from all sides, single‐spaced.    The Q Manual from the Monash Business School has some great advice about report  writing. See https://www.monash.edu/business/current‐students/study‐ resources/qmanual.pdf   REFERENCES  These resources may be of use in developing your report    Beard, M., & Longstaff, S. (2018). Ethical by Design: Principles for Good Technology. The  Ethics Centre. https://ethics.org.au/ethical‐by‐design/ [Pdf available on the Moodle  site for the unit]  Farthing, S., Howell, J., Lecchi, K., Paleologos, Z., Saintilan, P., & Santow, E. (2019). Human  Rights and Technology Discussion Paper. Australian Human Rights Commission.  https://tech.humanrights.gov.au/sites/default/files/2019‐ 12/TechRights2019_DiscussionPaper.pdf   Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature  Machine Intelligence, 1(9), 389–399. https://www.nature.com/articles/s42256‐019‐ 0088‐2   Perrault, R., Shoham, Y., Brynjolfsson, E., Clark, J., Etchemendy, J., Grosz, B., Lyons, T.,  Manyika, J., Mishra, S., & Niebles, J. C. (2019). Chapter  8: Societal Considerations. In  Artificial Intelligence Index Report 2019 (pp. 146–155). AI Index Steering Committee,  Human‐Centered AI Institute, Stanford University.  https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf     2020  3  Theodorou, A., & Dignum, V. (2020). Towards ethical and socio‐legal governance in AI.  Nature Machine Intelligence, 2(1), 10–12. https://www‐nature‐ com.ezproxy.lib.monash.edu.au/articles/s42256‐019‐0136‐y   ASSESSMENT  A marking rubric will be available on the Moodle site for the unit.   CITING AND REFERENCING  You must appropriately acknowledge ALL the sources that you use in develop your  assignment submission, so that it is clear what are your ideas and what are the ideas of  others.    Use the APA Style (http://guides.lib.monash.edu/content.php?pid=346637&sid=2835402)  to provide enough information about your references so that a future reader may locate  and read the original source.    Please also note the following from the ‘Student Academic Integrity: Managing Plagiarism  and Collusion Procedures’ of Monash, available at http://www.policy.monash.edu/policy‐ bank/academic/education/conduct/student‐academic‐integrity‐managing‐plagiarism‐ collusion‐procedures.html.    Plagiarism occurs when students fail to acknowledge that the ideas of others are being  used. Specifically it occurs when:     other people’s work and/or ideas are paraphrased and presented without a  reference;   other people’s work is copied either in whole or in part;   other people’s designs, codes or images are presented as the student’s own work;   phrases and passages are used verbatim without quotation marks and/or without  a reference to the author or a web page;   lecture notes are reproduced without due acknowledgement.
Answered Same DayJun 15, 2021FIT5205Monash University

Answer To: Microsoft Word - FIT XXXXXXXXXXAssignment 4 Ethical Framework Review v2.docx FACULTY OF INFORMATION...

Sunabh answered on Jun 22 2021
149 Votes
Running Head: DATA IN SOCIETY        1
DATA IN SOCIETY        12
FIT5205 DATA IN SOCIETY
ASSIGNMENT 4: CRITICAL REVIEW OF AN EMERGING ETHICAL AI
FRAMEWORK
Executive Summary
Artificial Intelligence (AI) being a non-negotiable necessity in today's world have found its application in almost every sector. However, the ethical issues surrounding the use of AI in human application are emerging and they are one of the major factors behind consumers lack of trust. AI ethical frameworks could be considered as an effective tool to maintain the trust of consumers and sim
ultaneously fostering the use of AI. This report focuses upon the AI ethics framework by 'The Linux Foundations'. Efforts would be made to present the ethical stance, context as well as the stakeholders involved. Further, this report will conclude with the strengths and limitations of this framework.
Table of Contents
Executive Summary    2
Introduction    4
Content, Context and Stakeholders Associated with the Ethical AI Framework    4
Discussion of the Framework’s Ethical Stance    5
Discussion of the Framework’s Governance    6
Conclusion and Summary of Strengths and Weaknesses    7
References    8
Introduction
Artificial intelligence (AI) has always been fascinating concept for both developers as well as users. One of the major directives behind this fascination is linked with the possibilities as well as opportunities, which are yet to be deciphered. Moreover, the concept of AI is also popular because ethics and ethical issues have always surrounded it. Technology ethicists have been around for many decades and mostly in non-profits as well as academia.
In response to the emerging inculcation of AI in almost every sector, ethicist has developed dozens of ethical tools. These tools or frameworks have been considered as essential aspect to be considered in company’s culture or even during product development cycle. ‘The Linux Foundation Project’ is a well-known organisation preferred by companies as well as organisations all around the globe (The Linux Foundation Projects, 2020). Linux foundation focuses upon helping other AI companies to build ecosystem, which could help to accelerate industry adoption and open technology development (The Linux Foundation Projects, 2020).
Ethics in AI and big data values and principles is a popular framework developed by the company. This report will discuss the content as well as context of this framework. Likewise, efforts would be made to provide a discussion related to ethical stance and governance of the framework. This report would conclude with potential strengths and areas of improvement in the framework.
Content, Context and Stakeholders Associated with the Ethical AI Framework
    It would be essential to consider that after 60 years of significant development in AI, it has emerged as a preeminent issue towards business, science, health, public affairs and much more. AI requires algorithms in order to help pilot weapons, cars and to perform many other dangerous as well as tedious work including product recommendations, decision-making, medicines and much more (Dignum, 2018).
Further, with the widening acceptability of AI, it seemed highly fashionable to accept that technology should shape the society and social norms instead of being shaped by them. However, this concept or orthodoxy has been strongly undermined in response to ever-expanding catalog including ethically fraught issues dealing or involving technology. Model frameworks or ethical frameworks help to translate ethical principles into suitable and practical measures, which can then be implemented by organisations, which deploy AI solutions at specific scale.
Ethical frameworks or these model frameworks could also be considered as an effort to promote AI adoption while building consumer trust as well as confidence in providing their confidential and personal data for AI development. Winfield and Jirotka (2018) mentioned that many concerns related to AI-enabled technologies have been already been publicised. This is evident from the rumours as well as fear among users related to disinformation, societal biases, data breaching and much more.
A large number of AI frameworks have been developed and appeared in recent years such as the Swiss university ETH Zurich and many more companies, organisations, agencies and universities have developed AI ethics framework to build consumer trust. The Linux foundation considers AI as reality and big data as its fuel. Both of the prior presented concepts complement each other with respect to the development of AI. Further, the ethical framework presented by Linux foundations considers that humans and machines are expected to merge (The Linux Foundation Projects, 2020).
Therefore, creation of ethical business framework is essential in order to direct safer and wider adoption of AI by organisations as well as customers. ‘Data Values and Principles’ presented by Linux foundation together describe the most ethical as well as effective and modern approach towards the development of data teamwork (The Linux Foundation Projects, 2020). There are three major or core principles to be followed by leaders while planning or preparing AI’s ethical framework and this include ‘impact’, ‘justice’ as well as ‘autonomy’.
`Impact of the developed AI must adhere to ethics of beneficence and non-maleficence. AI should be able to reflect procedural fairness along with distributive fairness, which is covered under the principle of justice. Further, AI should also be able to advocate for comprehension as well as control that is,...
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