Identifying Guiding Principles For Responsible AI

Question 1

Introduction:
The societal implications of a I am responsibility of organisations to anticipate and mitigate unintended consequences of AI technology are significant.
Considering this responsibility organisations are finding the need to create internal policies and practices to guide their efforts with the lay or deploying third party AI solutions or developing their own

Question 2

Implications of responsible AI - Practical Guide for lawn
Why is it a finding technology of our time. It is already enabling faster and more profound progress in nearly every field of human endeavour and helping to address some of society’s most daunting challenges like providing a remote students with access to education and helping farmers produce enough food for our growing global population

Answer 2

Microsoft believes that the computational intelligence of a I should be used to amplify the innate creativity and ingenuity of humans will start of vision for aisa empower every developer to innovate empower organisations to transform Industries and empower people to transform Society

Question 3

Social implications of a:
As with all great technology technological Innovations in the past the use of AI technology will have broad impact on society raising complex and challenging questions about the future we want to see a full stop I will have implications on decision-making across Industries data security and privacy and the skills people need to succeed in the workplace.
As we look into the future we must ask ourselves solon how do we design build and use systems that can create a positive impacts on individuals and Society excetera excetera

Question 4

The importance of a responsible approach to a a colon new line is important to recognise that as new intelligent technology emerges and proliferates throughout Society with its benefits will come unintended and unforeseen consequences and with some significant ethical ramifications and the potential to cause serious harm.
Organisations can’t predict the future just yet it’s our responsibility to make a concerted effort to anticipate and mitigate the unintended consequences of the technology rule released into the world through deliberate planning and continual oversight.

Question 5

Novel threats:
We were reminded of this responsibility in 2016 when we released a chat box on Twitter post a.
We talked a to learn and supervise from interactions with Twitter users so she could better replicate human communication and personality traits.
However within 24 hours users realise that she could learn and began to feed her bigoted rhetoric turning her from polite into a vehicle for hate speech.
This experience taught us that while technology may not be unethical on its own people and not always have good intentions and we must always consider you for a little while

Question 6

Biased outcomes the line you line another unintended consequence that organisations should keep in mind is that I am a reinforcer size or otherwise is without deliberate planning and design.
For example Microsoft partner with a large financial leading institutions to develop a risk scoring system for loan approvals. We trained and existing industry model using the customer’s data. When we conducted an audit of the system discovered that while it only approved low-risk loans all approved loans were for male Borrowers the training. The training data reflected the fact that loan officers historically favour Mail Borrowers and inspecting the system allows us to identify and I guess address that buyers before the system was deployed.

Question 7

Sensitive use cases:
Another illustration of our responsibility to mitigate unintended consequences is with sensitive technologies like facial recognition for staff recently there has been a growing demand for facial recognition technology especially from law enforcement organisations that see the potential of the technology for use cases like finding missing children.
However we recognise that these technologies could potentially be used by government to put fundamental freedoms at risk by for example and able and continuous surveillance of specific individuals. We believe Society has a responsibility to set up propriate boundaries for the use of these technologies which includes ensuring governmental use of facial recognition technology remains subject to the rule of law.

Question 8

Applying these ideas in your organisation:
Of the following three questions can help you to start to consider the ways your organisation can develop and deploy in a responsible manner

Answer 8

1 how can you use a human that approach to drive value for your business.
To how will you organisations foundational values affect your approach to ai.
3 how will you monitor our systems to ensure they are evolving responsibly?

Question 9

Identifying guiding principles for responsible and caroline
Abstract:
In the last unit we discuss the social implications of a I am responsible at of businesses common injuries and Academic researchers to anticipate and mitigate unintended consequences of AI technology. In light of this responsibility organisations are finding the need to create internal policies and practices to guide their efforts with the they are deploying third-party solutions or developing their own.

Question 10

6 principles guiding Microsoft responsible AI development and use:

Answer 10

Fairness.
Reliability and safety.
Privacy and security.
Inclusiveness.
Transparency.
Accountability.

Question 11

Janice:
Assistant to treat everyone fairly and avoid affecting similarly-situated groups of people in different ways. For example when AI systems provide guidance on medical treatments loan applications or employment they should make the same recommendations to everyone with similar symptoms financial circumstances or professional qualifications.

Question 12

Reliability and safety:
To build trust it’s critical that AI systems operate reliably safely and consistently under normal circumstances and in unexpected conditions.
The system should be able to operate as they were originally designed responsively to an anticipated conditions and resist harmful manipulation.
It’s also important to be able to verify that the systems are behaving as intended and the actual operating conditions. How they behave and the variety of conditions they can handle reliably and safely largely reflects the range of situations and circumstances that developers and Disappeared during design and testing.
Who believe that rigorous testing is essential during system development and deployment to ensure AI systems can respond safely in unanticipated situations and Edge cases don’t have unexpected performance failures and don’t involve evolve in ways that are inconsistent with original expectations.

Question 13

Privacy and security code on new line as I becomes more prevalent protecting privacy and security and securing important personal and business information is becoming more critical and complex.
With our privacy and data security issues require especially Close attention because access to data is essential for our systems to make accurate and informed predictions and decisions about people.
Systems must comply with privacy laws that require transparency about the collection use and storage of data and mandate that consumers have appropriate controls to choose how the data is used.
At Microsoft we are continuing to research privacy and security breakthroughs and invest in robust compliance Processes to ensure that data collected and used by our systems is handled responsibly.

Question 14

Inclusiveness kala
At Microsoft we firmly believe that everyone should benefit from intelligent technology meaning it must incorporate an address a broad range of human needs and experiences.
For the 1 billion people with disabilities around the world AI technologies can be a game-changer. I can improve opportunities for stop intelligent Solutions such as real-time speech to text transcription visual recognition services and predictive text functionality already empowering those with hearing visual and other impairments. Inclusive design practices can help system developers understand and address potential barriers in a product environment that could unintentionally exclude people. By addressing these barriers we create opportunities to innovate and design better experiences that benefit everyone.

Question 15

Transparency kola
Underlying the preceding values are to foundational principles that are essential for ensuring ensuring the effectiveness of the rest scroll on transparency and accountability.
When our systems are used to help inform decisions that have tremendous impact on people’s lives it is critical that people understand how those decisions were made.
For example a bank might use an AI system to decide whether a person is creditworthy or a company might use an AI system to determine the most qualified candidates dikhaiye.

A crucial part of transparency is where they were referred as what we refer to as intelligibility or the useful explanation of the behaviour of a AI systems and their components.
Improving intelligibility requires that stakeholders comprehend how and why they function so that I can identify potential performance issues safety and privacy concerns biases exclusionary practices or unintended outcomes. We also believed that those who choose a assistant should be honest and forthcoming about when why and how they choose to deploy them.

Question 16

Accountability:
The people who design and deploy systems must be accountable for how they systems operate.
Organisations to draw upon industry standards to develop accountability norms. These norms can ensure that our systems are not the final authority on any decision that impact people’s lives and that humans maintain meaning full control over otherwise highly autonomous AI systems.

Answer 16

Organisations should also consider establishing a dedicated internal review body. This body can provide oversight and guidance to the highest levels of the company at which practices should be adopted to help address the concerns discussed above and are particularly important questions regarding the development and deployment of AI systems. They can also help with tasks like guidance when an AI system will be used in sensitive cases for example like those that may deny people consequential service like Healthcare or employment credit risk of physical or emotional harm or infringe on human rights.

Question 17

Identifying guiding principles for responsible AI-state Farm case study

Question 18

Responsible AI in the insurance industry:
Data and statistical models have always been the lifeblood of the insurance industry. As insurance companies begin to think about new and better ways to serve customers there are significant opportunities for innovation using data and AI. We are already seeing a integrated across many business functions in the insurance industry fullstop machine learning models are being used to better match consumer-price to risk streamline the claims process and better detect fraud full-stop investments in AI technology are growing too. 63% of insurers believe intelligent technologies will help completely transformed the industry.

Question 19

Responsible AI governance at state Farm Paul on
State Farm is careful to develop and evolve controls for a systems and parallel with their Solutions will stop in their governance approach controls and oversight of light throughout the Solutions lifestyle from the early development stages to running and production. To oversee responsible design and deployment of isolation state Farm was established processes and a scientist wanted bility to certain positions and groups.

Answer 19

The chief data Analytics officer has primary executive accountability for responsible AI across the organisation for stop this position is responsible for leading but not unilaterally dictating the collaboration and evolve evolution of responsible principals across the enterprise.
A central validation team reports to the chief data Analytics and analytic services department and overseas model validation and I and software reviews.
The team uses a systematic process to assess different aspects of our models including evaluating training data sets mathematical approaches and intended business uses.

A model risk governance committee includes members from a variety of business areas including corporate law Enterprise risk management office of privacy it procurement and executive Partners in the lines of business with corporate law providing legal advice to the committee.

Question 20

Keelan Cole or new line successful AI requires interdisciplinary collaboration:
The process of integrating our across an organisation is inherited inherited cross-functional and involves collaboration across across many key business roles will stop to ensure their models make the biggest business impact state Farm encourages partnerships between different groups throughout the organisation with diverse skills and perspective. When business decisions makers work alongside developers and technical experts to design and develop AI Solutions initiatives are more likely to achieve organisational objectives organisational objectives.

Answer 20

Innovate AI controls alongside AI technology turn on new line when you adopt new technology it is important to adopt new controls as well. Governance processes for legal Legacy technology may not adequately regulate new my advance technology for stop all the processes can also stifle innovation so innovating our governance controls in parallel with our Solutions actually Accelerate the innovation process and produces better business results for start in this case study the dv a.m. solution leverages techniques in an automated model monitoring.

Question 21

Evaluation of the state Farm strategy:
From the industry environment perspective insurance companies are looking to streamline their business processes and lower-cost that jeopardizing the customer experience will stop their key to successful by Alan seeing advancements in active pass capabilities with responsible users.
2. From the value creation perspective leveraging responsible are principles to establish a government system helps state Farm make faster and more informed decisions generating value by improving customer and employee satisfaction

Answer 21

Three full stops from the organisation and execution perspective state Farm focus on aligning the responsible and strategy with the strategic business calls. Selecting an appropriate use case and establishing a government system allows state Farm to Leverage the existing data to bring a transformative a solution to an established business process.