Machines can learn, but what will we teach them? Geraldine Magarey

Transcription

1 Machines can learn, but what will we teach them? Geraldine Magarey

2 The technology AI is a field of computer science that includes o machine learning, o natural language processing, o speech processing, o expert systems, o robotics, and o machine vision.

3 What does AI look like?

4 What does AI look like?

5 What is AI? Many upsides to AI o Search engines o Platforms like Amazon and Netflix o Education o Health care sectors o Analytical tools enable predictive modelling

6 What is AI? Also many downsides o Personal privacy o Data security o Social reengineering o Fake news

7 Why do we need an ethical framework? Commoditisation of personal data Lack of transparency Rise of fake news Alleged interference in elections Unknown mechanics of how algorithms work

8 Impacts and concerns AI is an alternative intelligence without a human conscience or human values. Potential biases of AI designers and coders women and ethnic minorities are under represented. Data is commoditised, marketed and trafficked around the globe. Data also used to manipulate attitudes and behaviours. Several initiatives under way exploring governance regimes.

9 Impact on business Look at from different angles: o Technology companies themselves who have a pivotal role in addressing ethical challenges. o Business as a whole as employers and users of AI.

10 Impact on business Some examples of ethical concerns being considered about design and implementation: o Concerns around negative social behaviour. o Social suffering eg bullying, harassment etc o Fairness in respect of algorithms. o Human capacity to make informed choices. o Privacy.

11 Ethical decision points for business How will your business balance the efficiencies and productivity gains of AI with reinvestment in employee retraining and reskilling? How will you draw ethical boundaries around data use?

12 Ethical decision points for business How can employees voices be included in the transition to a blending of human and machine talent in the workplace? How will AI enhance the consumer experience and ensure the ethical treatment of customers? How will you ensure your algorithms and other AI applications will stand the test of external scrutiny?

13 Impact on regulators Some countries articulating their vision of what AI will mean for their citizens o USA, UK, Singapore, China, Germany, France Singapore established AI Singapore to get business and researchers working together to improve business practices. Australia wait and see approach.

14 Ethical decision points for regulators Should regulators rather than business be deciding on what data can be used and for what purposes? While AI is still in its infancy, how can regulators participate in the global discussion and formulate global ethical principles to underpin the advance of AI worldwide?

15 Ethical decision points for regulators How can regulators ensure that malicious uses are prevented Is it possible to regulate AI to ensure ethical outcomes that protect human well-being are part of the design, or do we leave that to self- regulation?

16 Ethical decision points for regulators Is there a place for a voluntary certification system for AI standards enabling consumers to use their purchasing power to reward and encourage ethical AI just as the Fairtrade logo enables consumers to make ethical decisions around coffee and other agricultural product harvesting?

17 Impact on accountants Accountants seen as trusted advisers. Development of IT skills to complement skills around analysing information for decision making. Role of auditor around algorithms.

18 Ethical decision points for accountants What are the possible threats to the profession s integrity in an AI environment and how might these be mitigated? How will AI change the skills needed within the finance function, advisory or assurance team?

19 Ethical decision points for accountants How can the profession assist with making AI more accountable and algorithm applications more transparent for users and their clients? Who will be responsible for deciding if AI s output and performance fit within an ethical accountability framework?

20 Ethical decision points for accountants Can the profession create its own sandbox for ethical development of AI in accounting, audit and assurance?

21 Principles for ethical AI

22 Principles for ethical AI 1. Artificial Intelligence should be developed for the common good and benefit of humanity. 2. Artificial Intelligence should operate on principles of intelligibility and fairness. 3. Artificial Intelligence should not be used to diminish the data rights or privacy of individuals, families or communities.

23 Principles for ethical AI 4. All citizens have the right to be educated to enable them to flourish mentally, emotionally and economically alongside artificial intelligence. 5. The autonomous power to hurt, destroy or deceive human beings should never be vested in artificial intelligence,

24 Conclusion

25 Questions